𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐋𝐋𝐌 𝐀𝐠𝐞𝐧𝐭𝐬 | 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I build AI-powered systems that automate real business workflows using LLMs, agents, and modern automation tools. With 7+ years of experience in AI/ML and data engineering, I now specialize in designing and deploying production-ready AI solutions using ChatGPT, LangChain, and workflow automation platforms. I focus on delivering systems that don’t just “look good” they save time, reduce manual work, and scale operations. 🔧 What I Can Help You Build ✔ AI Agents for business automation (multi-step workflows) ✔ ChatGPT / OpenAI integrations (custom apps, APIs, tools) ✔ RAG systems (document Q&A, knowledge bases) ✔ AI chatbots for customer support & internal tools ✔ Workflow automation (Zapier, Make, APIs) ✔ NLP systems (classification, routing, extraction) ✔ End-to-end AI pipelines (from idea → production) ⚙️ Tech Stack OpenAI (GPT-4 / ChatGPT API) LangChain / LLM Agents Python (FastAPI, backend systems) Zapier / Make (automation) Vector DBs (Pinecone, FAISS) REST APIs & integrations 💼 Recent Work Includes Built AI chatbot handling real customer interactions Developed LLM-based routing system for NLP classification Automated workflows using ChatGPT + Zapier Deployed LangChain-based document AI system Integrated LLMs into production APIs 🎯 What You Can Expect Clean, scalable, production-ready solutions Strong communication and fast turnaround Focus on business outcomes (not just code)

I specialize in developing and deploying custom AI solutions, with deep expertise in fine-tuning large language models and building production-grade machine learning systems. From adapting foundation models to your specific use case to architecting end-to-end AI pipelines, I deliver solutions that drive measurable business value. Core Specializations: AI & LLM Development • Fine-tuning LLMs (GPT, Llama, Mistral, LFMs) for domain-specific applications • Custom AI agent development and orchestration • Advanced prompt engineering and optimization • Model evaluation, benchmarking, and performance tuning ML/DL Engineering • Model architecture design, training, and deployment (TensorFlow, PyTorch) • Azure Machine Learning and Azure OpenAI Service integration • Containerized deployment with Docker and production orchestration Intelligent Automation • AI-powered workflow automation (n8n, Zapier) • Integration of LLMs into business processes • Custom API development and third-party integrations Federated Learning • Privacy-preserving model training across distributed data sources • Secure collaboration without centralizing sensitive data • Healthcare, finance, and enterprise applications where data privacy is critical What sets me apart: I don't implement off-the-shelf solutions. I customize and fine-tune AI models to match your specific requirements, ensuring optimal performance for your unique challenges. My approach combines technical rigor with strategic thinking to deliver AI systems that are both powerful and practical. 📩 Let's discuss your project. Whether you need a fine-tuned model, a custom AI solution, or an intelligent automation system, I'm here to help you build right.

I build AI automations and RAG chatbots that actually work in production — not just demos. Currently working with Adaptify (Norway) building full-stack AI systems for international clients, including RAG chatbots, n8n automation pipelines, and LLM-powered tools — deployed on real infrastructure (Supabase, Vercel, FastAPI). What I build for clients: — RAG chatbots that answer from your documents, PDFs, or knowledge base with no hallucinations — n8n automation workflows that connect your tools, reduce manual work, and run reliably 24/7 — AI agents for customer support, lead qualification, and internal operations — Social media automation: AI-generated posts, images, and automated DM replies — LLM fine-tuning on your domain-specific data (medical, legal, technical) My production stack: LangChain · OpenAI / LLaMA · n8n · Pinecone · Supabase · FastAPI · React · Vercel I don't vibe-code solutions. I architect systems with proper error handling, fallback logic, and deployment that doesn't break after handoff. If you've been burned by a freelancer who delivered a demo but not a working product — let's talk.

LLMs | RAG | MCP | Chatbot | Vector DB | LangChian | Stable Diffusion | ETL | OCR | Computer Vision | Gemini | Open AI | MultiAgent | Langgraph | Crew.ai | NLP | Llama | ChatGPT | Mistral | Azure AI | Image Annotation I am an AI/ML/ Computer Vision specialist with over 08+ years of experience.  Full-Stack Development: JavaScript, TypeScript, Node.js, React, Next.js, Angular, Express.js, Vue.js, Svelte, MongoDB, PostgreSQL, MySQL, MariaDB, SQLite, RESTful APIs, GraphQL, Apollo, WebSockets Frontend Development: HTML5, CSS3, JavaScript, TypeScript, Tailwind CSS, Bootstrap, SASS, LESS, React, Angular, Vue.js, Svelte, jQuery, Material-UI, Chakra UI Backend Development: Python, FastAPI, Node.js, Express.js, Django, Flask, GraphQL, Java, Spring Boot, C#, .NET, Ruby on Rails, PHP, Laravel, Go, Rust Computer Vision - OpenCV, TensorFlow, PyTorch, CNNs, object detection (YOLO, Faster R-CNN),ONNX, TensorRT 𝐓𝐡𝐞 𝐦𝐚𝐢𝐧 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐩𝐫𝐨𝐯𝐢𝐝𝐞: ✔️ Machine learning ✔️ Trading Bots development ✔️ Fine-Tuning ✔️ Web services ✔️ Python programming ✔️ OpenAI API integration ✔️ GPT 4 training and integration ✔️ Web-scrapping ✔️ Chatbot development using GPT ✔️ Web-development (mainly back-end) ✔️ Computer vision ✔️ Natural language processing ✔️ Desktop applications development ✔️ Transfer Learning ✔️ AI models training ✔️ Web Services

I’m an AI Automation Engineer and Python backend developer with 10+ years of experience building scalable AI-powered applications, backend systems, automation tools, and data platforms. I help startups and businesses build production-ready AI solutions using OpenAI, LangChain, FastAPI, Django, and modern automation workflows. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: ⤷ AI-powered workflow automation systems ⤷ Custom GPT and LLM integrations ⤷ Backend APIs and SaaS platforms ⤷ Web scraping and data extraction pipelines ⤷ Time-series analytics and AWS-based systems ⤷ Internal AI tools and business process automation 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: ⤷ AI Automation & AI Agents ⤷ OpenAI / GPT Integrations ⤷ LangChain & LLM Applications ⤷ Python Backend Development (FastAPI, Django, Flask) ⤷ REST APIs & SaaS Architectures ⤷ Web Scraping & Data Pipelines ⤷ PostgreSQL, Redis, Celery, Docker, AWS ⤷ Deployment, Scaling & Performance Optimization 🛠️ 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐮𝐬𝐞: ⤷ Docker, Git, Jira, Trello, Slack 💬 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐜𝐡𝐨𝐨𝐬𝐞 𝐦𝐞: ⤷ Top-rated 5-star developer ⤷ Smooth communication and fast turnaround ⤷ Focused on long-term collaboration and clean code I focus on clean architecture, scalability, fast communication, and long-term maintainability. Whether you need an AI MVP, backend system, automation platform, or custom AI workflow, I can help turn your idea into a reliable production-ready product. 📈 Let’s build your next big project with performance, stability, and future scale in mind. 📩 Message me now to discuss your idea. I'm available and ready to help!

I help startups, enterprises, and funded teams build production-grade AI systems that actually work in live environments not demos that fall apart when real users touch them. I'm a Top Rated AI Engineer with 6+ years shipping AI products end-to-end: multi-agent systems, RAG pipelines, AI call center agents, voice agents, fine-tuned LLMs, robotics AI, business process automation, and full-stack AI SaaS — all built for production, not sandboxes. I serve as a technical partner from scoping and architecture through deployment and beyond. I don't hand off a zip file and disappear — I own the outcome. What I Build Multi-Agent Systems — LangGraph, CrewAI, custom orchestration AI Call Center & Voice Agents — Vapi, Twilio, ElevenLabs, Deepgram Autonomous Sales & Marketing Agents — Gmail, CRM, outreach automation Business Process Automation — document processing, enrichment, decision routing RAG & Knowledge Systems — Qdrant, Pinecone, Weaviate, pgvector Fine-Tuned & Self-Hosted LLMs — HuggingFace, Ollama, vLLM, private infra AI-Integrated Robotics — computer vision, telemetry, object detection Full-Stack AI SaaS — React/Next.js · FastAPI · PostgreSQL · Docker · AWS MCP Integrations — agents connected to your APIs, CRMs, and databases AI Observability & Guardrails — LangSmith, Langfuse, evals, human-in-the-loop Workflow Automation — n8n, Make, Zapier, event-driven pipelines Results I've Delivered Built a multi-tenant IT support bot for a US MSP — 95,000+ knowledge chunks, Qdrant RAG, ConnectWise ticketing, org-scoped isolation, live Teams deployment Built and deployed AI call center agents — inbound/outbound calls, Vapi + ElevenLabs + Twilio, zero human handoff, live in production Built autonomous AI sales agents — lead qualification, outreach sequencing, CRM updates, meeting booking, fully automated Built BPA systems replacing manual ops — document processing, data extraction, enrichment pipelines, cross-system routing Fine-tuned and self-hosted LLMs on proprietary client data — HuggingFace + Ollama, deployed on private infrastructure Built AI robotics systems — computer vision, object detection, real-time telemetry, autonomous decision pipelines Shipped TheHighGrader — full AI EdTech SaaS, React/Next.js + FastAPI + LLM grading engine, end-to-end Built offline LLM + RAG on Docker/Ollama — zero cloud dependency, fully self-hosted, full data privacy Built AI agents for law firms and nonprofits — brand-consistent content and copywriting at scale Built multi-agent data extraction and enrichment pipelines — structured and unstructured data, no human in the loop My Stack AI/LLM: OpenAI · Claude · Gemini · Llama · Mistral · Ollama · vLLM · HuggingFace Agents: LangChain · LangGraph · CrewAI · LlamaIndex · AutoGen · MCP RAG: Qdrant · Pinecone · Weaviate · ChromaDB · FAISS · pgvector Voice: Vapi · Twilio · ElevenLabs · Deepgram · Whisper Vision: OpenCV · computer vision · telemetry pipelines Backend: Python · FastAPI · Node.js · NestJS · Flask · REST · GraphQL Frontend: React · Next.js · TypeScript · Tailwind Databases: PostgreSQL · MongoDB · Redis · Supabase · Firebase · DynamoDB Cloud: AWS · GCP · Docker · GitHub Actions · Linux · Nginx Automation: n8n · Make · Zapier · webhooks Industries AI SaaS · IT Managed Services · LegalTech · EdTech · FinTech · Healthcare · Nonprofit · Sales Automation · Robotics · Voice AI · Document AI · BPA · Internal Tooling How I Work I start with the business outcome, not the feature list. I design the right architecture, communicate clearly at every step, write clean maintainable code, and stay engaged through deployment and beyond. Message me with your use case I'll reply with a concrete approach and timeline within a few hours.

I'm an AI engineer with 7 years of production experience at Microsoft Copilot and IBM, plus a Master's in AI and Data Science. I specialize in building agentic AI systems—intelligent, autonomous workflows that reason, act, and deliver measurable business outcomes. What most teams miss: AI isn't about the LLM, it's about orchestration. I design and deploy multi-agent systems using LangGraph, AutoGen, and production frameworks where AI agents collaborate with deterministic logic and human oversight to solve complex, high-stakes problems. I build systems that work, not demos that impress. EXPERTISE AGENTIC AI AND MULTI-AGENT SYSTEMS - Multi-agent orchestration (LangGraph, AutoGen, Crew.ai) - Agent design: perception, reasoning, action loops - State machines and supervisory control - Human-in-the-loop AI workflows - Agent-to-agent communication and collaboration - Real-time monitoring and agent auditing LARGE LANGUAGE MODELS AND LLM ENGINEERING - Prompt engineering and few-shot learning - Structured outputs (JSON schemas, Pydantic validation) - Function calling and tool use - Long-context reasoning (200+ page document analysis) - Fine-tuning and adaptation - Cost optimization and latency reduction - Multimodal LLMs (text + vision) RETRIEVAL-AUGMENTED GENERATION (RAG) AT SCALE - Hybrid vector + keyword indexing (Weaviate, Qdrant, Pinecone) - Query routing and intelligent retrieval - Chunk optimization and reranking - Context compression - Citation and source tracking - Conflict detection across document sets - Production RAG pipelines (reducing hallucination) PRODUCTION AI ARCHITECTURE - API-first design (FastAPI, serverless) - Microservices and distributed agent systems - Async processing and queue management - Model deployment and inference optimization - Monitoring, observability, logging - Graceful degradation and fallback strategies - Security and governance in regulated environments MACHINE LEARNING AND DATA SCIENCE - Supervised and unsupervised learning (XGBoost, Random Forest, ensemble methods) - Deep learning (CNN, RNN, Transformers, TensorFlow, PyTorch) - NLP pipelines (tokenization, embeddings, semantic search) - Statistical analysis and hypothesis testing - Data visualization and reporting WHAT I BUILD INTELLIGENT AGENTS AND CHATBOTS Agentic chatbots that reason through multi-step problems, retrieve relevant context, and execute actions. Customer support, technical assistance, content generation, decision support. DOCUMENT INTELLIGENCE SYSTEMS Multi-agent workflows that ingest complex document sets, extract structured information, detect conflicts, generate RFIs, build takeoffs, and produce cost estimates. Built for real-world accuracy, not demos. AUTONOMOUS WORKFLOWS AI agents that coordinate across business processes: data pipeline orchestration, content generation at scale, financial analysis, project management, research and analysis. RAG-POWERED ANALYTICS Question-answering systems over your proprietary data (documents, databases, knowledge bases) with source attribution, confidence scoring, and multi-turn reasoning. CUSTOM AI SOLUTIONS Tailored agentic systems for your specific workflow—whether that's construction estimating, contract review, healthcare intake, anomaly detection, or predictive analysis. TECHNICAL STACK Frameworks and Orchestration: LangGraph, AutoGen, Crew.ai, LangChain, LlamaIndex LLM Providers: OpenAI (GPT-4, GPT-4o), Anthropic Claude, open-source (Llama, Mistral) Vector Databases: Weaviate, Qdrant, Pinecone, Chroma Backend and Deployment: Python, FastAPI, Docker, AWS (SageMaker, Lambda, S3), serverless ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost Data and Databases: SQL, PostgreSQL, MongoDB, BigQuery Monitoring and Observability: LangSmith, custom logging, performance tracking INDUSTRIES AND IMPACT Enterprise SaaS | Financial Services | Healthcare and Biotech | Construction and AEC | Legal Tech | Government and Defense | Consulting | E-commerce | Nonprofits --- HOW I WORK Discovery First — 20-minute conversation to understand your problem, timeline, and success metrics. No fluff, just clarity. Phased Delivery — Start with an MVP that proves value. Expand from there. You control scope at each phase. Production-Grade from Day One — Every system is built to scale, monitor, and evolve. Not a prototype. Transparent and Collaborative — Regular updates, explainable decisions, alignment on progress. I work with your timezone. Honest Assessment — Sometimes the answer isn't "build an AI agent." I'll tell you if a simpler solution fits better. LET'S TALK Whether you're exploring agentic AI for the first time or optimizing an existing system, let's have a conversation. Message me or schedule a consultation. I'm here to turn your business challenge into an intelligent, auto

Hi, I am an AI and Full-Stack Engineer with over ten years of experience designing and building intelligent, scalable, and production-ready software systems. I help startups and growing businesses turn complex problems into simple, smart, and automated solutions. My goal is always to save time, improve decision-making, and create applications that scale effortlessly. I specialize in Python with frameworks like Django, FastAPI, and Flask for backend development. I write clean, maintainable code with a focus on performance, reliability, and scalability. I also work with React and Next.js to deliver smooth and responsive user interfaces. Alongside full-stack development, I specialize in natural language processing and Generative AI. I build applications using large language models, LangChain, and LlamaIndex. I develop retrieval-augmented generation systems, conversational AI, semantic search, knowledge base automation tools, and other AI-powered solutions that turn data into insight and workflows into intelligent automation. I have hands-on experience with transformer models such as GPT, LLaMA, Mistral, Claude, Gemini, and Qwen. I integrate them using fine-tuning, prompt engineering, embeddings, and custom API pipelines. I work with vector databases like Pinecone, Weaviate, FAISS, and ChromaDB to enable context-aware intelligence and fast data retrieval. I have delivered end-to-end solutions including AI-powered SaaS platforms, custom dashboards, automation systems, and text-to-SQL tools. I focus on strong backend architecture, intelligent AI logic, and seamless user experiences. I also have experience deploying applications on cloud platforms such as AWS, GCP, and Azure using Docker and CI/CD pipelines to ensure reliability and scalability. 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Python • Django • FastAPI • Flask • React • Next.js NLP • LLMs • RAG Systems • Semantic Search • Summarization • NER • Sentiment Analysis Generative AI • GPT • Claude • LLaMA • Gemini • Qwen • Hugging Face • Transformers Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB Prompt Engineering • Embeddings • Document AI • Data Processing & Automation Cloud Deployment & SaaS Solutions (AWS, GCP, Azure) 💬I treat every project like it’s my own, with care, precision, and a focus on real results. I will bring experience, skill, and care to your project. I will work with you to create solutions that are intelligent, reliable, and built to last. Let us build something remarkable together.

I build AI agents, automations, and RAG systems that ship to production - not demos that die in a notebook. As the founder of BeautyBuzz AI (a live SaaS with real users), I've taken AI products through the full cycle: idea → build → deploy → scale. I'm a full-stack developer with deep AI expertise, which means you get one person who can design the model, build the backend, and ship the app - no handoffs, no gaps. What I build for clients: • AI Agents & Multi-Agent Systems — LangChain, LangGraph, CrewAI; tool-calling, memory, orchestration • AI Automation & Workflows — n8n, Make, Zapier + OpenAI/Claude; connect your CRM, email, Slack, docs so work runs itself • RAG & Knowledge Assistants — chat over your documents/data with accurate, cited answers (vector DBs, hybrid retrieval) • LLM Fine-Tuning & Integration — OpenAI, Anthropic Claude, Gemini, Llama; prompt engineering, evals, cost/latency optimization • Full-Stack AI Products & MVPs — Python/FastAPI backends, clean databases, cloud deployment (AWS/GCP/Azure), Docker, CI/CD Why clients hire me: ✅ 100% Job Success Score and $60K+ earned on Upwork ✅ Founder of a real, deployed AI SaaS — I think about your business outcome, not just the code ✅ Recent 5-star work: agentic RAG systems, document-processing automation, a high-performance LLM inference engine, and a 150-hour PostgreSQL + Python app Tech I work with daily: Python, FastAPI, LangChain, LangGraph, OpenAI & Claude APIs, MCP, Pinecone/pgvector, Hugging Face, PyTorch, TensorFlow, Docker, AWS, n8n, SQL, React/Next.js. If you need an AI agent, an automation that saves hours every week, or a production-ready AI feature built properly the first time, send me a message or invite me to your job - I reply within hours and I'll tell you honestly what's worth building.

🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.