𝗙𝗿𝗲𝗲 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗥𝗲𝘃𝗶𝗲𝘄 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗕𝗲𝗳𝗼𝗿𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗞𝗶𝗰𝗸𝗼𝗳𝗳. 𝗛𝗶, 𝗠𝘆 𝗻𝗮𝗺𝗲 𝗶𝘀 𝗝𝗮𝗿𝗿𝗮𝗿. 𝗜'𝘃𝗲 𝗮 𝗠𝗮𝘀𝘁𝗲𝗿'𝘀 𝗱𝗲𝗴𝗿𝗲𝗲 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗿𝗼𝗺 𝗚𝗲𝗼𝗿𝗴𝗶𝗮 𝗧𝗲𝗰𝗵 (𝘁𝗼𝗽 𝟱% 𝗶𝗻 𝗨𝗦 𝗶𝗻 𝗖𝗦). 𝗜 𝗮𝗹𝘀𝗼 𝗵𝗮𝘃𝗲 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗶𝗻𝗴 𝗔𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟭𝟬𝟬 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗹𝗶𝗸𝗲 𝗔𝗧&𝗧 𝗮𝗻𝗱 𝗩𝗲𝗿𝗶𝘇𝗼𝗻. 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹𝗹𝘆, 𝗜 𝗿𝘂𝗻 𝗺𝘆 𝗼𝘄𝗻 𝗔𝗜 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝗰𝘆 𝗵𝗮𝘃𝗶𝗻𝗴 𝘀𝗲𝗿𝘃𝗲𝗱 𝟯𝟱+ 𝗕𝟮𝗕 𝗰𝗹𝗶𝗲𝗻𝘁𝘀. Are repetitive workflows, inefficient operations, slow customer support, poor lead qualification, disconnected systems, or manual business processes limiting your growth? I help businesses design, develop, and deploy production-ready AI solutions that automate operations, improve customer experiences, reduce costs, and increase team productivity. My focus is not on building demos or experimental prototypes. I build scalable AI systems that solve real business problems and deliver measurable outcomes. With extensive experience in AI Agent Development, Generative AI, Voice AI, RAG Pipelines, Workflow Automation, and Full-Stack AI Applications, I help startups, agencies, and enterprises transform their operations using modern AI technologies. 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗘 ➜ Production-ready AI systems designed for real-world business use ➜ AI agents that automate repetitive tasks and workflows ➜ Custom chatbots trained on your business knowledge ➜ Voice AI assistants for sales, support, and appointment booking ➜ RAG systems that retrieve accurate information from documents ➜ End-to-end development from architecture to deployment 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 𝗜 𝗣𝗥𝗢𝗩𝗜𝗗𝗘 ➜ AI Agent Development ➜ Multi-Agent Systems ➜ LangGraph Development ➜ LangChain Development ➜ AI Workflow Automation ➜ Generative AI Solutions ➜ OpenAI Integration ➜ Claude AI Integration ➜ Gemini AI Integration ➜ Llama & Open Source LLM Solutions ➜ Retrieval-Augmented Generation (RAG) ➜ Document Intelligence Systems ➜ Knowledge Base Chatbots ➜ Customer Support AI Agents ➜ AI Sales Agents ➜ AI Lead Generation Systems ➜ AI Research Assistants ➜ AI Content Automation ➜ Voice AI Development ➜ AI Receptionist Solutions ➜ Appointment Booking Agents ➜ Twilio Voice Solutions ➜ VAPI Development ➜ Retell AI Development ➜ WhatsApp Automation ➜ CRM Automation ➜ GoHighLevel Automation ➜ n8n Automation ➜ Make Automation ➜ Zapier Automation ➜ API Integration ➜ Full-Stack AI Application Development 𝗔𝗜 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗜𝗘𝗦 ➜ OpenAI GPT-4o ➜ Claude ➜ Gemini ➜ Llama ➜ Mistral ➜ LangGraph ➜ LangChain ➜ LangSmith ➜ LlamaIndex ➜ Model Context Protocol (MCP) ➜ CrewAI ➜ AutoGen ➜ Hugging Face ➜ Prompt Engineering ➜ Fine-Tuning ➜ AI Evaluation Frameworks 𝗥𝗔𝗚 & 𝗩𝗘𝗖𝗧𝗢𝗥 𝗗𝗔𝗧𝗔𝗕𝗔𝗦𝗘𝗦 ➜ Pinecone ➜ Qdrant ➜ ChromaDB ➜ FAISS ➜ Weaviate ➜ Hybrid Search ➜ Semantic Search ➜ Embeddings ➜ Document Processing ➜ Metadata Filtering 𝗩𝗢𝗜𝗖𝗘 𝗔𝗜 𝗦𝗧𝗔𝗖𝗞 ➜ Retell AI ➜ LiveKit ➜ Pipecat ➜ Twilio ➜ Deepgram ➜ Whisper ➜ AssemblyAI ➜ ElevenLabs ➜ PlayHT ➜ Azure Speech 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 𝗦𝗧𝗔𝗖𝗞 ➜ n8n ➜ Make ➜ Zapier ➜ GoHighLevel ➜ CRM Integrations ➜ Email Automation ➜ SMS Automation ➜ WhatsApp Automation ➜ Lead Management Automation 𝗙𝗨𝗟𝗟-𝗦𝗧𝗔𝗖𝗞 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗠𝗘𝗡𝗧 ➜ Python ➜ FastAPI ➜ Django ➜ Flask ➜ Node.js, Express.js, NestJS ➜ React ➜ Next.js ➜ TypeScript ➜ Flutter ➜ PostgreSQL ➜ MongoDB ➜ Firebase ➜ REST APIs ➜ GraphQL APIs ➜ WebSockets ➜ Docker ➜ AWS ➜ Google Cloud ➜ Microsoft Azure 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 𝗜 𝗖𝗔𝗡 𝗛𝗘𝗟𝗣 ➜ AI Customer Support Systems ➜ AI Appointment Booking Platforms ➜ AI Call Center Solutions ➜ AI SDR Agents ➜ Lead Qualification Systems ➜ Legal Document AI ➜ Medical Document AI ➜ Financial Research AI ➜ Compliance Automation ➜ Contract Analysis Systems ➜ Enterprise AI Platforms ➜ Multi-Tenant SaaS Applications ➜ Internal Company Assistants ➜ AI Workflow Automation Platforms 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 ➜ Healthcare ➜ Financial Services ➜ Legal ➜ Insurance ➜ Real Estate ➜ SaaS ➜ E-Commerce ➜ Logistics ➜ Staffing ➜ Telecommunications ➜ Education ➜ Professional Services 𝗪𝗛𝗬 𝗖𝗛𝗢𝗢𝗦𝗘 𝗠𝗘 ➜ Business-first approach focused on measurable ROI ➜ Strong software engineering and AI architecture expertise ➜ Clear communication and transparent project management ➜ Scalable and maintainable solutions ➜ Secure and enterprise-ready development practices ➜ Reliable post-launch support and optimization AI Agent Development, AI Agent Developer, LangGraph, LangChain, RAG, Retrieval Augmented Generation, Voice AI, AI Chatbot, OpenAI, GPT-4o, Claude, Gemini, Llama, Generative AI, AI Automation, n8n, Make, Zapier, GoHighLevel, FastAPI, Python, Next.js, React, Twilio, VAPI, Retell AI, Pinecone, Qdrant, ChromaDB, FAISS, LlamaIndex, MCP, Multi Agent Systems

Most AI freelancers can build you a model. Most full-stack developers can bolt one onto an app. I do both — I architect and ship the entire product myself, from the AI core to the mobile, web, or desktop app it lives in, so you're not coordinating three contractors to launch one thing. I'm an AI Voice Agent Developer with 7+ years of AI engineering experience. Because most of my AI systems needed a real product around them, not just an API, I've also shipped the web, mobile, and desktop apps they run in. Voice AI Agents: If your voice agent sounds great in testing and then breaks down on a real call — long pauses, awkward interruptions, or a bill that scales badly with call volume — that's what I fix. - Self-hosted speech-to-speech pipeline on LiveKit: ~1–1.5 second response latency, low cost, smooth interruption handling, and noise suppression - Or a managed build on Retell or ElevenLabs if you already have a platform preference — I've delivered the same production use case on all three, so you get the right tradeoff on latency, cost, and control instead of whichever tool I happen to know AI Agents & LLM Systems: - Multi-agent orchestration with LangGraph and CrewAI — specialized sub-agents handling distinct steps (planning, execution, verification) instead of one monolithic prompt doing everything - Built a LangGraph-based AI app-generation system: a multi-step pipeline (spec → plan → scaffold → build → fix → preview) with dedicated tool-agents for file handling, shell commands, and build-error parsing — turning a plain-language request into a working, previewable app with an edit loop for follow-up changes - Agentic RAG systems built on LLMs (OpenAI, Claude, LLaMA, Qwen) with grounded, citation-backed retrieval over documents and knowledge bases Computer Vision (GPU & Edge): - Object detection, segmentation, and multi-object tracking (YOLO, BoT-SORT, Deep SORT) - Deployment to edge devices (Jetson Nano, Xavier NX) with real-time performance optimization - Built DentaSmart, a live App Store app that detects and segments dental conditions from X-rays - and oral images, with a patient-facing chatbot for follow-up questions - Built a real-time pose-correction fitness app that tracks joint angles via mobile camera to detect posture mistakes and correct exercise form live - Built a drone-based traffic analytics system using fine-tuned YOLO + BoT-SORT for persistent multi-object tracking through occlusion and dense traffic How I Work: I don't just deliver a model — I architect and ship the product it lives in: iOS, Android, React/Next.js web apps, Windows desktop applications, and backend (FastAPI/Python), deployed on AWS/GCP. For example, a real-time call-center transcription and supervisor-coaching platform I built runs as a Windows desktop agent app paired with a live web dashboard — two-sided transcripts, AI-assisted reply suggestions, and real-time escalation alerts. Ideal Clients: I work best with teams that need to: ✔ Turn an idea into a working AI-powered MVP — one person owning both the AI and the product around it ✔ Replace a fragile AI demo with something production-ready ✔ Add voice AI, AI agents, or computer vision capability to an existing product ✔ Build a multi-agent workflow that actually completes tasks, not just simulates them ✔ Deploy computer vision to real hardware (edge devices, cameras, embedded systems) Tell me what you're building and where it's currently stuck — I'll give you a straight answer on scope and approach before you spend a connect.

Hey, I’m Nirav, I did my Master’s from Columbia University and worked at UBS (core team) before starting Quantal AI giving me a strong foundation in both enterprise-grade systems and cutting-edge AI innovation. Today, I help startups and enterprises design, build, and scale AI Agents, LLM workflows, and automation systems that reduce costs, improve efficiency, and unlock new capabilities. My Core Skills: AI Agents (n8n, relevance ai, crew ai, make, Zapier, LangGraph, Langchain), LLMs, Generative AI, Chatbots, RAG, NLP with 7 years of Industry Experience. - Generative AI, LLMs, ChatGPT, Prompt Engineering,Machine Learning, NLP, Image Processing, Statistical Reports - Python and R, Data Modelling and Data Mining, Regressive, Predictive - Topic Modelling, Question-Answer Models, Computer Vision More than 7 years of Industry Experience with Python and Data Science: - Machine Learning : Pytorch, Keras, Tensorflow, Gensim, Scikit-learn, OpenAI, Langchain - Experience : 1. Projects: Generative AI, Sentiment Analysis, Semantic Clustering, ChatBots, E-Commerce Product Matching (Image and Text), Graph Data Mining, etc 2. Skills : Sequence Prediction, Text Classification, Text Generation, Summarization, Computer Vision and Image Processing 3. Architectures: LLMs, Transformers, Bidirectional LSTM, Graph Neural Networks, Attention Models, Reinforcement Learning EXPERTISE: AI Automation | AI App Development | AI Data Analytics | AI Model Training | AI Speech-to-Text | AI Text-to-Speech | AI Generated Code | AI Audio Generator | AI Bias Mitigation | AI Content Editing | AI Content Writing | AI Video Generator | AI Content Creation | AI Image Generation | AI Video Generation | AI Model Development | AI Model Integration | AI Writing Generator | AI Product Management | AI Mobile App Development | AI Enhanced Classification | AI Enhanced Medical Imaging

I help businesses automate repetitive work, improve customer support, and scale operations using AI Agents, Voice AI, and workflow automation. Over the past several years, I've completed 47+ Upwork projects, earned $100K+, and maintained a 100% Job Success score by delivering production-ready AI solutions that solve real business problems. Whether you need an AI receptionist, a sales agent, CRM automation, RAG chatbot, or a custom AI application, I can take it from architecture to deployment. 🤖 AI Agents & Automation ✅ AI Sales, Customer Support & Research Agents ✅ Multi-Agent Systems (LangGraph, LangChain, CrewAI, AutoGen) ✅ AI Assistants & Human-in-the-Loop Workflows 🎙 Voice AI ✅ AI Receptionists & Call Agents ✅ Inbound & Outbound Voice Automation ✅ CRM Integration, Transcription & Analytics Platforms: Vapi, Retell AI, ElevenLabs, Deepgram, Twilio 🔥 MCP, RAG & LLM Solutions ✅ Custom MCP Servers ✅ OpenAI, Claude & Gemini Integrations ✅ RAG Applications & Vector Databases ✅ Tool Calling & Enterprise AI Solutions 🔄 Workflow Automation ✅ n8n, Make, Zapier & Power Automate ✅ API Integrations & ETL Pipelines ✅ CRM, ERP & Business Process Automation 🔗 CRM & ERP Integration ✅ Salesforce, HubSpot, GoHighLevel, Zoho, Monday ✅ NetSuite, SAP, QuickBooks, Stripe & Custom APIs 💻 Full-Stack Development ✅ AI-Powered Web Applications (React, Next.js, Python, Node.js) ✅ Mobile Apps (React Native, Flutter) ✅ FastAPI, Django, PostgreSQL, MongoDB & Redis 🛠 Core Technologies AI: OpenAI, Claude, Gemini, Llama, Mistral Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex Cloud: AWS, Azure, GCP, Docker, Kubernetes Let's connect and discuss the project. Thanks, Vaibhav

Top Rated AI Engineer and Full-Stack Developer | 8+ Years Experience | 100% Job Success Rate → Top 1% Freelancer on Upwork with $40K+ in total earnings → 100% Job Success Rate verified across 80+ successfully completed projects → Top 4% overall contributor on Stack Overflow → AWS and Python Certified | Enterprise Architect | Available 50+ hours per week Greetings! I am Mahima Khera, a seasoned AI Developer, systems architect, and Full-Stack Engineer with over 8+ years of professional development experience building end-to-end solutions. I specialize in bridging the gap between advanced Gen AI research and production-grade software. I handle the entire development lifecycle from orchestrating autonomous AI Agent systems and fine-tuning local LLM pipelines to building highly robust Python backends, custom vector databases, and responsive Next.js user interfaces on secure AWS cloud infrastructure. Core Services I Offer → Autonomous AI Agent Development: Building stateful, deterministic multi-agent orchestration workflows using LangGraph, CrewAI, and AutoGen to automate complex enterprise logic and operations flawlessly. → Advanced RAG and GraphRAG Systems: Engineering multi-angle corporate knowledge graphs, Model Context Protocol (MCP) integrations, and multi-stage semantic reranking pipelines (LlamaIndex and LangChain) to eliminate model hallucinations entirely. → Production Voice AI Agents: Architecting ultra-low latency, real-time conversational streaming applications utilizing LiveKit, Vapi, and Deepgram APIs for natural, voice-driven interaction. → Full-Stack Gen AI Applications: Developing premium Next.js and React frontends backed by highly scalable, asynchronous Python (FastAPI, Django) and Node.js microservices. → LLM Fine-Tuning and Optimization: Fine-tuning models like DeepSeek-R1, Llama 3.x/4, and Mistral using Unsloth, Axolotl, and PEFT/LoRA to slash external API costs by up to 70% while improving local inference speed. Deep Technical Expertise → Gen AI and Orchestration: LangGraph | LangChain | CrewAI | LlamaIndex | Model Context Protocol (MCP) | Advanced Prompt Engineering → Cloud AI and Foundation Models: AWS Bedrock | AWS SageMaker | OpenAI API | Anthropic Claude | HuggingFace Pipelines | OpenClaw Setup → LLM Architecture and Fast Inference: DeepSeek-R1 | Llama 3.x/4 | Mistral | vLLM | TensorRT-LLM | Quantization (GGUF, AWQ, GPTQ) → Vector Stores and Databases: PostgreSQL (pgvector) | Qdrant | Pinecone | Weaviate | Milvus | SQLite | Redis Caching → Backend and Data Processing: Python (FastAPI, Django, Flask) | Node.js (Nest.js, Express) | Celery Task Queues | Advanced Web Scraping (Playwright, Selenium) → Frontend and Cloud Infrastructure: Next.js | React.js | TypeScript | Tailwind CSS | AWS (EC2, S3, Lambda, CloudWatch) | Docker | GitLab CI/CD With an 8-year track record of engineering highly technical architectures, I excel at turning complex AI models and agent behaviors into maintainable, scalable, commercial-grade software that solves actual business bottlenecks. Let’s build something incredible. Introduce your project or invite me to apply! Warm regards, Mahima Khera

I build AI Agents, LLM powered products and RAG systems that go from MVP to production end to end, backend to frontend. 🏆 Top Rated | 100% Job Success | $20K+ Earned | 15+ Completed Jobs As a Full Stack AI Developer, I combine LLM integration, AI agent development, and full stack engineering to help startups and businesses ship real AI products — not just prototypes. Whether you need an AI MVP built from scratch, an existing app upgraded with LLM capabilities, a research paper turned into production code, or a multi-agent system automating your workflows, I can take it from concept to deployed product. 🤖 What I Build → AI Agents & Multi-Agent Systems — using CrewAI, AutoGen, and LangGraph to automate multi-step business processes. → LLM Integration — adding Claude, GPT, Gemini, or open-source models into existing products via clean, production-ready API. → RAG Systems — end-to-end retrieval-augmented generation pipelines using LangChain, Pinecone, Qdrant, FAISS, and ChromaDB. → AI Chatbot Development — conversational agents with memory, tool-calling, and multi-turn context handling. → AI Automation Workflows — connecting PDFs, emails, CRMs, and databases so AI extracts, classifies, and routes data automatically. → Computer Vision — 2D/3D detection, classification, and recognition pipelines for medical, sensor, and industrial use cases. → LLM Fine-Tuning — LoRA/QLoRA/PEFT fine-tuning and RLHF/DPO alignment using Unsloth, Axolotl, and HuggingFace AutoTrain. → Research Paper to Production Code — reproducing GitHub/arXiv research and turning it into a working, deployable system. 🖥️ Full Stack Skills Backend: Python, FastAPI, Django, Flask, Node.js, Express.js, NestJS, REST APIs, GraphQL, WebSockets Frontend: React.js, Next.js, TypeScript, Tailwind CSS, React Native AI/LLM Stack: LangChain, LangGraph, LangSmith, LlamaIndex, HuggingFace Transformers, OpenAI API, Anthropic Claude, Amazon Bedrock, Ollama Vector Databases: Pinecone, Qdrant, FAISS, ChromaDB Cloud & DevOps: AWS (EC2, S3, Lambda, SageMaker), GCP AI Platform, Docker, Kubernetes, Redis, PostgreSQL, MongoDB, CI/CD Inference & Deployment: vLLM, TGI, TensorRT-LLM, RunPod, Vercel AI SDK 🧠 Specializations 🔹 Prompt Engineering — few-shot, zero-shot, and RAG-based prompting 🔹 Quantization — AWQ, GPTQ, GGUF, GGML for efficient inference 🔹 Healthcare & Medical AI automation 🔹 Time series forecasting, classification, and predictive analytics 🔹 Voice agents — Deepgram, Amazon Polly, Rasa AI 🤝 How I Work I focus on shipping working products, not just running experiments. Every engagement starts with understanding your actual business problem, then I build the smallest system that solves it well and scales cleanly. Clear communication, realistic timelines, and production-quality code — every time. Ready to turn your AI idea into a working product? Let's talk about your project. Keywords to find me: #Fullstack #FullstackDeveloper #Prompt Engineering #DataScience #MachineLearning #DeepLearning #ArtificialIntelligence #PythonDeveloper #SQLDeveloper #DataAnalytics #PredictiveModeling #StatisticalModeling #CreditRiskModeling #LimitManagement #ApplicationScoring #ProbabilityOfDefault #FraudDetection #RiskAnalytics #FinancialModeling #BankingAnalytics #RecommendationSystem #LightFM #FactorizationMachine #CollaborativeFiltering #NaturalLanguageProcessing #TextClassification #AudioAnalysis #SentimentAnalysis #DataikuDSS #TensorFlow #PyTorch #ScikitLearn #Pandas #NumPy #Matplotlib #Seaborn #Plotly #JupyterNotebook #BeautifulSoup #SQLServer #OracleSQL #Greenplum #DataVisualization #FeatureEngineering #DataMining #DataCleaning #ModelDeployment #Automation #APIDevelopment #AI #ML #AIAutomation #RAG #LLM #AI #ML #AIAutomation #RAG #LLM #AI #ML #AIAutomation #RAG #LLM #AI #ML #AIAutomation

Hey! I'm Mike, top 1% AI developer and machine learning engineer. In short, you’ve found your best AI partner, I helped more than 200 companies in fintech, healthcare, real estate and e-commerce to scale faster without scaling headcount. Want to start small? Book a consultation to see how I can turn your missed opportunities into revenue. Working with me means you’ll go away with revenue ready and production grade AI systems for SaaS, healthcare, real estate and fintech businesses. What I build: ✅ AI Agents & AI Chatbots – Python-based chatbot development with conversational AI that connects to your CRMs, APIs, and internal tools. Real automation, not just chat interfaces. MCP integration. Whether you need a sales agent, support bot, or an AI agent handling complex multi-step workflows — I build systems that actually work. ✅ AI Voice Bots – Phone agents for restaurants, hospitality, and service businesses. 24/7 availability with reservation and support capabilities. ✅ LLM RAG Systems – Machine learning-powered document search for contracts, knowledge bases, and internal data. Built on retrieval-augmented generation (RAG) for accurate, grounded answers from your own data. ✅ AI Co-pilots – Internal tools for finance, operations, and customer support teams. Think GPT-4-powered assistants with prompt tuning tailored to your workflows. ✅ SaaS AI Products & MVPs – Full stack AI developer expertise from architecture to first paying users. Complete web developer capabilities for end-to-end AI applications. I handle everything from full stack app architecture and REST API design to frontend builds in React and Next.js — so you get a complete product, not just a backend. ✅ Machine Learning Solutions – Time series forecasting, recommendation engines, fraud detection, and data science implementations. Recent case studies: - AI Healthcare Recommendation Engine – Python-based machine learning system helping UK patients search, compare, and book medical services by price, location, and availability. - AI CFO for Small Businesses – AI chatbot that connects to financial tools, surfaces insights, and runs business scenarios automatically. A great example of what a skilled AI developer can deliver for finance teams. - AI Travel Concierge – Multi-step AI agent handling flight/hotel search with business logic and booking-ready outputs. Built by an experienced chatbot developer with deep knowledge of conversational AI flows. - Restaurant AI Voice Bot – 24/7 phone AI agent built with Python that handles reservations via API, reducing missed calls. - AI Document Analysis (Legal/Mortgage) – Machine learning pipeline that reads complex documents, extracts data, and flags issues for compliance. Tech Stack: ✅ AI & Machine Learning OpenAI (GPT-4/4o/o1/o3), Claude, Gemini, LangChain, LlamaIndex, LangGraph, RAG, LLM RAG, MCP, vector databases ✅ Python Development Python, FastAPI, scikit-learn, pandas, NumPy, PyTorch/TensorFlow for machine learning. I write clean, well-structured Python code that's easy to maintain and scale — not the kind of spaghetti scripts you inherit from someone's side project. From Python scripting and automation to building full Python backends with async support and proper error handling, this is where most of my work lives. ✅ Chatbot Development & Voice AI Conversational AI, AI agents, chatbot developer tools, prompt tuning, Twilio, VAPI, Ultravox, WhatsApp, Telegram, web chat widgets ✅ Full Stack & Web Development Python backend, Node.js, React, Next.js, REST APIs, Stripe integration. I'm comfortable owning the full stack — database schema, backend logic, API layer, and a clean frontend. Whether it's a full stack web app from scratch or plugging AI into an existing product, I can take it from Figma to deployed. That includes full stack integrations with third-party tools, auth flows, dashboards, and anything else that makes a product actually shippable. ✅ Data Science & ML Time series analysis, recommendation systems, fraud detection, analytics dashboards (Streamlit, Dash) ✅ DevOps & Cloud Docker, AWS, GCP, CI/CD pipelines for AI products ✅ Security & Compliance GDPR-friendly architectures, PII handling, on-prem/VPC deployments for enterprise Not sure where to start? Book a consultation and let's turn your AI idea into reality! 100% job success. See client reviews!

An AI agent that works in demos but breaks in production is not an asset. It is a liability. Gartner surveyed 3,400 organizations in 2025; 40% of agentic AI projects cancelled before delivery. I build agentic AI systems, RAG pipelines, and multi-agent workflows where that problem is solved before anything ships. Your agent worked perfectly in the demo. Three weeks into production and nobody can explain why it gave a wrong answer, what it cost to run last week, or whether things are getting worse. That is what happens when large language models go live without evaluation, observability, or cost controls baked in. Most teams only find out after it is already a problem. Founders, ops teams, and CTOs hire me when they need autonomous AI agents and LLM-powered systems that plug into real workflows and stay reliable after launch. No black boxes. No surprise API bills. No agents doing things nobody signed off on. AWS Community Builder | AWS Agentic AI Certified | 5+ years in cloud engineering before AI. ➤ What That Looks Like in Practice A property management company was manually reviewing every tenant maintenance request. Each one took 2-4 hours to classify, route, and action. Built an AI triage and dispatch agent using LangGraph that now handles 60-85% of requests with zero manual review. Response time dropped from 2-4 hours to under 30 minutes. Manager capacity doubled without adding a single hire. Shipped with a production eval suite and CI regression gates that catch bad changes before they reach tenants. ➤A shared AI helpdesk needed to serve multiple companies on one system with zero data bleed between them. Built a multi-tenant support agent with per-tenant namespacing, rate limits, token budgets, and tool permissions tied to each company's own policies. Every action is logged. Shipped with 6 adversarial attack tests in CI that must all fail before any code reaches production. Security is enforced by the infrastructure, not filtered after the fact. ➤A customer support RAG system was slow, expensive, and returning inconsistent answers. Rebuilt the retrieval pipeline with semantic caching and streaming. Perceived wait time dropped 2.6x. Costs dropped 6.4x. The root cause was a vocabulary gap between how customers phrase questions and how the knowledge base was indexed. Fixed at the source. System now handles 1M queries per month at $400-600 all-in. (Full case studies with technical breakdown in portfolio below.) ➤What I Build For You 1. Agentic AI Systems and Multi-Agent Workflows Custom LangGraph agents, multi-step tool calling, autonomous AI agents, AI chatbot systems, and human-in-the-loop controls built for real operational AI workflow automation. Handles complex business processes without breaking when conditions change. 2. RAG Pipelines and Knowledge Systems Production retrieval-augmented generation backends with vector database integration, hybrid retrieval, semantic caching, and streaming responses. Systems that retrieve accurately and stay cost-efficient at scale. 3. LLM Evaluation, Optimization and Observability Evaluation frameworks built before the agent ships. LLM-as-a-judge graders, prompt engineering, regression test suites, CI gates, and Langfuse or LangSmith traces on every run. LLM optimization across cost, latency, and quality so the system improves instead of drifting. 4. AI Guardrails and Production Hardening Deterministic checks around every non-deterministic model call. PII redaction, RBAC, token budgets, cost caps, and adversarial attack testing. Built for teams that need AI compliance automation and are operating under regulatory frameworks including the EU AI Act. 5. Generative AI App Development and Cloud Infrastructure FastAPI backends on AWS ECS, Lambda, and Bedrock. Full-stack generative AI app development from architecture to deployment. CI/CD pipelines, Docker, and production-grade infrastructure built by an engineer with 5+ years in cloud before AI. ➤Tech Stack AI and Agents: Python, LangGraph, LangChain, OpenAI Agents SDK, Claude Agents SDK, AWS Strands, Pydantic AI RAG and Retrieval: Qdrant, Pinecone, Haystack, Redis, hybrid retrieval, semantic caching Evaluation and Observability: RAGAS, DeepEval, Langfuse, LangSmith, LLM-as-a-Judge, pytest, GitHub Actions Infrastructure: FastAPI, AWS ECS, Lambda, Bedrock, Docker, PostgreSQL, MCP, A2A Frontend: React, Next.js Every day your team spends reviewing, routing, and manually actioning requests is a day your agentic system should have handled automatically. Send me a message describing the workflow your team is stuck on right now. I will come back within 24 hours with a straight answer on whether AI fixes it, what it will cost to run, and whether you should hire me at all.

# 🚀 AI Agents | Agentic AI | Enterprise AI | RAG | LangGraph | MCP | LLM Engineering | AI Automation I help startups and enterprises design, build, and deploy production-ready AI systems powered by Agentic AI, Large Language Models (LLMs), and intelligent automation. With **8+ years of experience** in Artificial Intelligence, Machine Learning, Data Engineering, and Full-Stack Development, I specialize in building autonomous AI agents, multi-agent systems, Retrieval-Augmented Generation (RAG) applications, AI copilots, and enterprise automation solutions that streamline operations and deliver measurable business value. ## 💡 Core Expertise ✅ AI Agents & Agentic AI Systems ✅ Multi-Agent Orchestration & Collaboration ✅ LangGraph, LangChain & LlamaIndex ✅ Model Context Protocol (MCP) & AI Tool Calling ✅ OpenAI, Claude, Gemini, Llama, DeepSeek, Mistral & Open-Source LLMs ✅ Retrieval-Augmented Generation (RAG) & Enterprise Knowledge Systems ✅ AI Copilots & Intelligent Assistants ✅ Voice AI Agents (VAPI, Retell AI, Bland AI, ElevenLabs) ✅ Workflow Automation (n8n, Make, Zapier, GoHighLevel) ✅ Vector Databases (Pinecone, Weaviate, Qdrant, ChromaDB, Milvus) ✅ Prompt Engineering, AI Evaluation & Guardrails ✅ AI SaaS Product Development ✅ Python, FastAPI, Django, Node.js & React ✅ Cloud Deployment (AWS, Azure & Google Cloud Platform) ✅ Docker, Kubernetes & CI/CD ## 🤖 AI Solutions I Build • Enterprise AI Assistants & Knowledge Chatbots • AI Customer Support & Helpdesk Agents • AI SDR & Sales Outreach Automation • AI Voice Calling & Appointment Booking Agents • Document Intelligence & OCR Automation • AI Contract Review & Legal Assistants • Research & Market Intelligence Agents • AI Recruiting & HR Automation • AI CRM & Business Process Automation • Financial Analysis & Reporting Assistants • Multi-Agent Business Workflows • Autonomous Task Execution Systems • AI Workflow Orchestration Platforms • Custom AI SaaS Applications ## ⚙️ Technology Stack **Agentic AI & LLMs** Agentic AI, AI Agents, Multi-Agent Systems, LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, MCP (Model Context Protocol), Prompt Engineering, AI Evaluation, Guardrails, RAG, Function Calling, Structured Outputs **Foundation Models** OpenAI GPT, Claude, Gemini, Llama, DeepSeek, Mistral, Qwen, Hugging Face Transformers Keywords:- AI Agents, Agentic AI, Retrieval-Augmented Generation (RAG), LangGraph, Model Context Protocol (MCP), Large Language Models (LLMs), LLM Engineering, AI Automation, Prompt Engineering, Context Engineering, Function Calling, Tool Calling, Multi-Agent Systems, Autonomous Agents, AI Workflows, Workflow Automation, AI Orchestration, Agent Memory, Vector Database, Embedding Models, Semantic Search, Hybrid Search, Dense Retrieval, Sparse Retrieval, Knowledge Graphs, GraphRAG, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI API, Anthropic Claude, Google Gemini, Mistral AI, DeepSeek, Groq, Ollama, vLLM, TensorRT-LLM, Hugging Face Transformers, Sentence Transformers, FAISS, Pinecone, Weaviate, ChromaDB, Milvus, Qdrant, pgvector, Elasticsearch, BM25, Cross Encoder, Reranking, Context Window, Tokenization, Token Streaming, Structured Output, JSON Mode, Schema Validation, Guardrails AI, Prompt Chaining, Chain of Thought, ReAct, Tree of Thoughts, Self-Consistency, Reflection, Self-Correction, Planning Agents, Task Decomposition, Multi-Step Reasoning, AI Copilots, AI Assistants, Conversational AI, Natural Language Processing (NLP), Natural Language Understanding (NLU), Named Entity Recognition (NER), Intent Recognition, Text Classification, Sentiment Analysis, Document Parsing, OCR, Unstructured Data Processing, Knowledge Retrieval, Document Chunking, Metadata Filtering, Query Expansion, Context Compression, Long-Term Memory, Short-Term Memory, Session Memory, Human-in-the-Loop (HITL), AI Evaluation, LLMOps, MLOps, Prompt Versioning, Model Fine-Tuning, LoRA, QLoRA, PEFT, Quantization, Distillation, Inference Optimization, GPU Inference, Batch Inference, API Integration, REST API, GraphQL API, Webhooks, Server-Sent Events (SSE), FastAPI, Flask, Django, Python, TypeScript, Node.js, Docker, Kubernetes, Redis, RabbitMQ, Apache Kafka, Celery, Airflow, Temporal, n8n, Zapier, OpenTelemetry, LangSmith, Weights & Biases, MLflow, AI Observability, Agent Monitoring, Hallucination Detection, Prompt Injection Prevention, AI Safety, RBAC, OAuth 2.0, JWT Authentication, Secret Management, AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon SageMaker, Cloud Functions, Serverless AI, Edge AI, Multimodal AI, Vision Language Models (VLMs), Speech-to-Text, Text-to-Speech, Voice AI, Computer Vision, Diffusion Models, Synthetic Data, Knowledge Distillation, Fine-Grained Access Control, AI Governance, Explainable AI (XAI), Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), Agent Benchmarking, Retrieval Pipelines, Intelligent Automation, Generative AI

⭐ Top Rated • 100% Job Success • Founder of Alphalense • Currently building production AI at Micro1 and Pyfecta • DeepLearning.AI Certified in LangGraph AI systems don't fail at the model layer. They fail in production broken retrieval, hallucinations, scaling collapse, latency spikes, fragile workflows. I'm a Full Stack AI Engineer specializing in Agentic AI. I build production-grade agentic systems that survive real users, real data, and real edge cases. What I Do I am an AI Agents Developer specializing in AI SaaS, Chatbot Development, Machine Learning, and AI Consulting. My core areas of work include: 1. AI Chatbot Development — Intelligent bots for customer support, lead qualification, and conversational automation. 2. Machine Learning — Models that drive business insights, predictions, and process automation. 3. AI Consulting — Guiding startups and enterprises through AI integration with a business-first, ROI-focused approach. 4. AI Software and App Development — Scalable MVPs and production-ready platforms built on the latest AI technologies. AI Software Development 1. Enterprise AI Co-Pilots — Knowledge bases that transform business data into actionable insights 2. Document AI Platforms — OCR and NLP for intelligent document processing 3. Legal AI Tools — Automated drafting, case analysis, and compliance tracking 4. E-commerce AI Assistants — Order tracking, customer support, and analytics automation AI Voice Agents and Automation 1. Outbound Sales SDRs (VAPI, Retell AI, Bland AI, 11Labs) 2. Inbound Receptionist Bots — Appointment scheduling and lead qualification 3. CRM Integration — HubSpot, Salesforce, GHL automation workflows 4. Marketing Agency AI — Content review, lead scoring, and campaign optimization AI Business Process Automation Workflow Automation — Make dot com, Zapier, N8N integrations 1. Customer Support Bots — RAG-powered, with sentiment analysis and knowledge base training 2. AI Agents for GTM — Lead conversion, sales forecasting, and contract management My Proven Track Record 1. Microsoft for Startups Approved — DocuSensa, my Document AI Platform 2. 10+ Live SaaS Products currently serving customers across 15+ countries 3. 15+ Voice AI Agents handling more than 30,000 calls per month with deep integrations into EMRs, booking platforms, and CRMs Our Technical Stack 1. AI/ML — OpenAI GPT-4, Claude, Llama, LangChain, RAG, Qdrant, Pinecone 2. Development — Python (Django/FastAPI), React/Next js, PostgreSQL, AWS, Azure 3. Voice AI — VAPI, Retell AI, Bland AI, 11Labs, Twilio Studio 4. Automation — Make, Zapier, Google Apps Script, Power Automate 5. Integrations — HubSpot, Salesforce, Shopify, Slack, Gmail APIs Whom I Work With ➜ Startups needing MVP to market-ready AI platforms ➜ SMBs and agencies wanting AI workforce automation ➜ SaaS companies requiring AI feature integration ➜ Enterprises seeking custom AI solutions with a clear ROI focus What You Get ➜ Fast delivery with working prototypes and clear milestones ➜ Business-first approach focused on user adoption and revenue impact ➜ Transparent communication with weekly updates ➜ Post-launch support and maintenance included via monthly retainer My Services in Detail AI Integration and Automation with Existing Systems ➜ Automate workflows using Make com, Zapier, and custom AI model hooks ➜ Integrate with Voice AI platforms like VAPI, Air AI, and Bland AI ➜ Connect AI into CRMs such as Go High Level, HubSpot, and Salesforce ➜ Build AI-driven tools that plug into Slack, Google Chat, Gmail, and Calendar AI Software Development for Retail and E-commerce ➜ Create intelligent assistants and automation for Shopify stores ➜ Integrate AI into Magento and other e-commerce platforms for order tracking, customer support, and analytics Custom Software and AI Product Development ➜ Design and build AI-powered SaaS products from the ground up — MVPs to production-scale apps ➜ Build AI applications with advanced document parsing capabilities AI-Powered Customer Support Chatbots ➜ Build RAG-powered customer support bots trained on historical chat data ➜ Bots perform sentiment analysis and generate accurate responses from your knowledge base By choosing to work with me, you gain a partner focused on rapid prototyping, transparent communication, and post-launch success — with maintenance included. LangChain, OpenAI API, VAPI, RAG, Python, FastAPI, AI Agent Development