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I’ve spent the last 14 years building and scaling software products, with a strong focus on AI, cloud, and backend engineering. Over the years, I’ve worked hands-on with LLMs, machine learning, NLP, OCR, recommendation systems, and AI-driven automation, along with building reliable backend systems using Python, Flask, and FastAPI. On the cloud side, I have solid experience working with AWS and designing infrastructure that is secure, scalable, and practical to operate in production. I enjoy solving the kind of technical challenges where application architecture, backend performance, and cloud infrastructure all need to work together smoothly. AI & Machine Learning Expertise - LLMs & NLP – OpenAI GPT, Anthropic Claude Sonnet, Google Vertex AI, Hugging Face BERT, Transformer Models - Conversational AI – Chatbots, Virtual Assistants, AI-driven customer support - Text Analytics & Search – Named Entity Recognition (NER), Text Summarization, Sentiment Analysis, Semantic Search - Recommendation Systems – AI-driven industry classification & harmonization of company codes (NAICS, SIC) - OCR & Document AI – AI-powered text extraction from handwritten notes & scanned documents using AWS Textract - Data Science & Deep Learning – Feature Engineering, Model Fine-tuning, Predictive Analytics - AI Automation & Optimization – Intelligent Process Automation (IPA), AI-based Data Processing Pipelines Programming & Tech Stack - Python – TensorFlow, PyTorch, Scikit-learn, FastAPI, OpenCV, Numpy, Pandas - ML Frameworks & Libraries – Transformers, LangChain - Data Engineering – Data Preprocessing, Feature Engineering, ETL Pipelines AWS Cloud & AI Services - AWS Lambda – Serverless AI automation - AWS SageMaker – AI model training, fine-tuning, and deployment - Amazon DynamoDB & RDS – High-performance NoSQL & SQL solutions - Amazon Bedrock – LLM deployment & inference at scale - Vector Search & Embeddings – Knowledge Graphs, Context-Aware AI - AWS Textract – AI-powered OCR solutions for structured & unstructured data Backend & API Development Expertise - Python Web Frameworks – Flask, FastAPI, API Development & Optimization - NGINX – High-performance API routing, Load balancing, and Reverse Proxy setup - Scalable & Secure API Development – GraphQL, RESTful APIs, Authentication, Role-Based Access Control (RBAC) AWS Cloud & Infrastructure as Code (IaC) - AWS VPC – Secure networking, private and public subnet management - AWS Lambda – Serverless computing for high-performance applications - AWS EC2 & Elastic Load Balancing (ELB) – Scalable compute instances & optimized traffic distribution - AWS Aurora & ElastiCache – High-availability databases & caching for optimized performance - AWS EFS – Scalable storage solutions for distributed applications - AWS API Gateway & Cognito – Secure API management & user authentication - Infrastructure as Code (IaC) – Terraform, AWS CloudFormation for automated deployment & scalability Database & Big Data Expertise - Relational Databases: MySQL, PostgreSQL (including Pgvector for vector search & AI applications) - NoSQL & Search Databases: DynamoDB, OpenSearch (formerly Elasticsearch) - Big Data Processing: Hands-on experience with large-scale data processing, optimization, and querying Core technical scope - Solution Architecture - Multi-Tenant Architecture - SaaS Architecture - Data Isolation - CRM Architecture - Salesforce Marketing Cloud - Workflow Automation (n8n) - Voice AI Integration - API Architecture - Webhooks & Integrations Delivery / process - Production Readiness Assessment - Architecture Review - Technical Due Diligence - Implementation Oversight - Scalability & Capacity Planning - Enterprise Customer Onboarding (Amazon/Nestlé-style vendor security reviews) Why Work With Me? - AI-powered automation – Automating workflows, AI-driven decision-making - LLM & NLP Expertise – From chatbots to AI-based text analysis & search engines - End-to-End AI Development – Data preprocessing, model selection, fine-tuning, and deployment - Cloud-Optimized Solutions – Scalable AI architectures using AWS and vector databases - AI-Driven Recommendation Engines – Industry-specific AI models for classification & personalization Let's collaborate to build cutting-edge AI solutions that transform businesses! Contact me today to discuss your next AI project!

8+ years of experience | Top Rated Plus Freelancer 𝗠𝗼𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗮𝗿𝗲 𝗹𝗼𝘀𝗶𝗻𝗴 $50𝗞–$500𝗞+ 𝗶𝗻 𝗵𝗶𝗱𝗱𝗲𝗻 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝗶𝗲𝘀, missed leads, manual workflows, slow response times, and disconnected systems. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜/𝗠𝗟-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗶𝘁, 𝗮𝗻𝗱 𝗿𝘂𝗻 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲. I've worked with 25+ businesses across healthcare, SaaS, eCommerce, hospitality, construction, distribution, local services, and enterprise systems, building production-ready AI solutions that automate real workflows, not demos. 𝗥𝗲𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ➞ Healthcare : Voice AI, clinical chatbots, medical transcription (NLP), patient engagement, appointment automation ➞ Distribution & Manufacturing : Document AI (OCR), order parsing, inventory automation, demand forecasting, analytics dashboards ➞ Hospitality & Local Services : AI booking systems, WhatsApp automation, conversational AI, lead conversion systems ➞ Construction & Real Estate : Data extraction, lead generation systems, workflow automation, CRM pipelines ➞ SaaS & Internal Tools : AI copilots, GPT-based apps, analytics dashboards, reporting systems, multi-agent architectures 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ClaudBot : AI assistant for conversations, workflows, and task automation CoWork : internal AI workspace for team productivity and knowledge access MoltBot : AI automation system for lead handling and business operations Paperclip : document AI system for parsing, extraction, and validation CrewAI-based systems : multi-agent workflows, task coordination, tool execution RAG systems : knowledge base AI and semantic search across documents NLP systems : text classification, entity extraction, summarization, intent detection Chatbots : web, WhatsApp, and support automation Voice AI : conversational systems and IVR automation LLM pipelines : prompt design, tool calling, structured outputs AI copilots : internal assistants for teams and operations Workflow automation : APIs, CRM/ERP integrations, Zapier, Make, n8n Document AI : OCR, PDF parsing, data extraction and validation Data pipelines : ETL, real-time processing, structured data flows Dashboards & analytics : reporting systems and insights generation Predictive systems : recommendation engines and ML models 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 AI / ML & LLMs OpenAI (GPT-4/4o), Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, Hugging Face, Fine-Tuning, Embeddings, Vector Search, MCP, Function Calling Agent Frameworks & AI Systems LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, Hermes Agent Framework, Mastra, PydanticAI, Multi-Agent Systems, Agentic Workflows, Tool Calling, AI Copilots AI Application Frameworks Vercel AI SDK, Next.js AI Applications, AI Assistants, Streaming AI Interfaces, AI SaaS Development RAG & Knowledge Systems LlamaIndex, Haystack, Pinecone, Weaviate, Qdrant, ChromaDB, FAISS, Hybrid Search, Semantic Search, Knowledge Graphs Voice AI & Conversational Systems LiveKit Agents, Vapi, Retell AI, Bland AI, ElevenLabs, Whisper, Speech-to-Text (STT), Text-to-Speech (TTS), AI Voice Agents, IVR Automation Computer Use & Browser Agents Browser Use, Stagehand, Computer Use Agents, Web Automation Agents, Autonomous Workflows Observability & Evaluation LangSmith, LangFuse, Arize Phoenix, Prompt Evaluation, LLM Monitoring, AI Analytics Automation & Integrations n8n, Zapier, Make, REST APIs, Webhooks, HubSpot, Salesforce, WhatsApp API, Twilio, CRM/ERP Integrations Backend & Infrastructure Python, FastAPI, Django, Node.js, Docker, AWS, GCP, Azure, LiteLLM, Ollama, vLLM, Microservices, Serverless Architecture Frontend React, Next.js, TypeScript, Vercel Databases & Data Engineering PostgreSQL, MongoDB, Redis, Supabase, ETL Pipelines, Real-Time Data Processing, Analytics Pipeline 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Real workflows, not experiments Fast build → quick iteration Stable, scalable systems Clear and direct communication 𝗪𝗵𝗲𝗻 𝗜'𝗺 𝗔 𝗚𝗼𝗼𝗱 𝗙𝗶𝘁 You want to automate business processes using AI/ML You need chatbots, voice AI, or AI agents in production You're building AI-powered products or internal tools You want to scale without increasing manual work 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 If you're looking to reduce manual work, build AI systems, or scale automation across your business, let's connect. Keywords: AI Backend Systems, Next.js developer, React developer, Full Stack Developer, AI Automation Engineer, AI Workflow Automation, Python developer, FastAPI developer, Django developer, n8n developer, n8n specialist, Make expert, Make Integromat, Zapier expert, Zapier automation, Airtable consultant, Airtable developer, Supabase specialist, Firebase developer, AI Chatbot developer, Voice Bot developer, Vapi AI integration, Retell AI developer, ElevenLabs Voice AI, AI MVP prototyping, Bolt developer, Lovable app, SaaS application developer

I build conversational and voice AI that survives contact with real users — sub-second responses, real accuracy, and the data privacy that healthcare and education clients actually require. My team and I build voice and conversational AI platforms that run fully on-premise or on a private AI stack: no external APIs, no data leaving your network. Over 15+ years I've delivered 110+ projects here on Upwork and led builds for clients across the UK, Europe, US and South Africa. Most AI demos look great on a slide and fall apart the moment real people use them. My work is the opposite. I care about the unglamorous parts: latency, hallucination control, where the data lives, and what happens when ten thousand users hit the system at once. A few projects that show what I mean: — OELMS (UK): a conversational AI that trains on a client's own documents, websites and videos, then answers questions, fills forms and translates across languages. — Innovative Education (South Africa): a drag-and-drop chatbot builder that cut query resolution time by around 75%. — A healthcare voice agent running fully on-premise on open-weight models — no external APIs, no patient data ever leaving the client's network — at sub-800ms latency. — A healthcare and patient-experience platform that uses AI to elevate the patient journey end to end. — A voice AI agent that automates the full sales cycle, from first contact to qualified handover. I'm not a solo freelancer juggling everything alone. I lead a senior engineering team — Cubet, 150+ people, 15+ years, Official Laravel and Microsoft Partner — so you get me as your direct point of contact and a full team behind delivery. That's usually the difference between a prototype that stalls and a product that ships. The team I lead has delivered for organisations that don't take chances on their technology partners — a leading UK bank, one of the world's largest shipping operators, and a major European and Mediterranean insurer. Where I focus: — Conversational and voice AI (LLM, RAG, real-time voice agents) — Private / on-premise AI for regulated industries (healthcare, edtech, finance) — AI features inside existing products: search, document intelligence, decision support If you're past the experimenting stage and want AI that holds up in production, tell me what you're trying to build. I'll give you an honest read on whether it's a fit and how I'd approach it.

If you need a working AI system, not just a prototype, I can build it end to end. Python & AI engineer with 4+ years delivering production RAG systems, AI Agents & AI Voice applications, SaaS backends (using Django, Flask, or FastAPI), and real-world AI solutions. 💼 What I can build for you: • AI chatbots & knowledge assistants powered by RAG (LangChain + Qdrant/ChromaDB) • AI agents with tool use, memory, and real-time chat (LangChain, OpenAI, Socket. IO) • AI Voice applications with speech-to-text, text-to-speech, voice agents, and real-time interactions • Django, Flask, and FastAPI REST APIs with auth, payments, background jobs, and admin dashboards • Generative AI pipelines (Stable Diffusion fine-tuning, image generation, PSD outputs) • Computer vision systems including classification and object detection (YOLO, TensorFlow, OpenCV) • Web scraping and automated data pipelines (BeautifulSoup, Selenium, scheduled jobs) • Complete SaaS platforms with Stripe billing, magic-link auth, and embeddable widgets ⚙️ What makes my work reliable: • I've shipped complete SaaS products like SupportJoy and PriveGuard, not just isolated features • Every API I build is production-ready with validated inputs, error handling, documentation, and scalable architecture • I think in architecture and cost, not just code. I reduced token costs by 22% and latency by 35% on a live AI system • Strong experience with async systems including Celery, Redis, WebSockets, and background workers • Built and deployed AI products used in real-world environments. 🧪 Recent work: • Multi-provider AI Knowledge Assistant (OpenAI, Mistral, Cohere, AWS Bedrock) with streaming RAG and citation highlighting, resulting in 35% lower latency and 22% reduced token costs • Built a LangChain-powered AI agent with 10+ tools, real-time Socket. IO chat, and deployment support across Android, iOS, and web platforms • SupportJoy AI chatbot SaaS with embeddable widgets, Stripe payments, multi-format ingestion, and magic-link authentication • PriveGuard anti-piracy SaaS with automated content detection, admin tools, analytics, and Stripe integration • Developed generative AI pipelines using fine-tuned Stable Diffusion models with PSD-layered outputs and image customization workflows • Built computer vision systems using YOLO and custom deep learning models with 95%+ accuracy across large-scale image classification tasks. 🤝 How I work: 1. I ask the right questions upfront to understand your actual goals, not just the feature list 2. I share a clear architecture and implementation plan before writing a single line of code 3. I communicate progress consistently and flag blockers early 4. I deliver clean, documented, and maintainable code that your team can confidently build on 👉 Have an AI, SaaS, or backend project in mind? Send me a message with your requirements, and I'll share honest feedback on scope, timeline, and the right technical approach. A free 15-minute discovery call available.

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 AI Architect | Available 50+ hours per week Greetings! I am Mahima Khera, a seasoned AI Developer, systems architect, and Full-Stack Engineer with 8+ years of experience building end-to-end AI applications. I specialize in Gen AI engineering, custom AI Agent development, and production-ready LLM architecture. I handle the complete development lifecycle from stateful LangGraph agentic workflows and Advanced RAG pipelines to 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: Architecting complex AI Agent systems, multi-agent orchestration, and agentic workflows using LangGraph, CrewAI, AutoGen, and Model Context Protocol (MCP) to automate business operations. → Advanced RAG and GraphRAG Pipelines: Building enterprise-grade Retrieval-Augmented Generation (RAG), knowledge graphs, and multi-stage reranking engines using LangChain and LlamaIndex to eliminate LLM hallucinations. → Production Voice AI Agents: Engineering ultra-low latency, real-time conversational Voice AI Agent systems using LiveKit, Vapi, Retell AI, and Deepgram APIs. → Full-Stack Gen AI Applications: Developing high-performance Next.js and React interfaces powered by scalable Python (FastAPI, Django) and Node.js microservices integrated with OpenAI, Anthropic, and local LLM APIs. → LLM Fine-Tuning and Cloud Deployment: Fine-tuning open-weight models (DeepSeek-R1, Llama 3.x/4) using Unsloth, LoRA, and vLLM, deployed seamlessly on AWS Bedrock and AWS SageMaker to slash API costs. → Workflow and AI Integration: Integrating custom AI models and n8n/OpenClaw automations directly into CRMs, webhooks, and operational workflows to streamline manual processes. Deep Technical Expertise → Gen AI and AI Agent Frameworks: LangGraph | LangChain | CrewAI | LlamaIndex | Model Context Protocol (MCP) | OpenClaw | Prompt Engineering → Cloud AI and LLMs: AWS Bedrock | AWS SageMaker | OpenAI API | Anthropic Claude | DeepSeek-R1 | Llama 3.x/4 | Mistral | Ollama → RAG and Vector Databases: PostgreSQL (pgvector) | Qdrant | Pinecone | Weaviate | Milvus | SQLite | Redis Caching → Backend and Cloud Systems: Python (FastAPI, Django, Flask) | Node.js (Express, Nest.js) | AWS (EC2, S3, Lambda) | Docker | Kubernetes | CI/CD → Frontend and Voice AI: Next.js | React.js | TypeScript | Tailwind CSS | LiveKit | Vapi | Deepgram Whether you need a full-stack Gen AI platform, a specialized AI Agent built with LangGraph, or a custom RAG solution on AWS, I deliver clean, scalable, commercial-grade code tailored to your business needs. Let’s build something incredible. Introduce your project or invite me to apply! Warm regards, Mahima Khera

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow ✅ 𝟏𝟎𝟎𝐊+ 𝐓𝐨𝐭𝐚𝐥 𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬 ✅ 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐑𝐚𝐭𝐞 ✅ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 ✅ 𝟏𝟎+ 𝐘𝐞𝐚𝐫𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 ✅ 𝟗𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 ✅ 𝐀𝐖𝐒 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 ✅ 𝟓𝟎𝐡𝐫𝐬/𝐰𝐞𝐞𝐤 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 ✅ 𝟒+ 𝐲𝐞𝐚𝐫𝐬 𝐀𝐈/𝐌𝐋 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 ✅ 𝐏𝐲𝐭𝐡𝐨𝐧 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠𝐬! 𝐈 𝐚𝐦 𝐀𝐚𝐲𝐮𝐬𝐡, 𝐚 𝐬𝐞𝐚𝐬𝐨𝐧𝐞𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐢𝐭𝐡 𝐨𝐯𝐞𝐫 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: CrewAI, AutoGen, LangGraph, Semantic Kernel, OpenAI Swarm, OpenAI Assistants API, MCP, Vapi, Retell AI, Bland AI, Synthflow, LiveKit, Pipecat, Amazon Polly, Deepgram, ElevenLabs, Whisper, Rasa AI 🔹 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠: PEFT, LoRA, QLoRA, RLHF, DPO, ORPO, SFT, TRL with Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker 🔹 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Qwen, DeepSeek, Phi-3, Falcon, Gemma 🔹 𝐂𝐥𝐨𝐬𝐞𝐝 𝐋𝐋𝐌𝐬: GPT-4o, o1, o3, Claude, Gemini, Amazon Bedrock, Cohere 🔹 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, Groq 🔹 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-turn, Few-shot, Zero-shot, Chain-of-Thought, ReAct, RAG-based prompts 🔹 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, bitsandbytes 🔹 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: LangChain, LlamaIndex, Haystack, GraphRAG, ChromaDB, FAISS, Pinecone, Qdrant, Weaviate, Milvus, pgvector 🔹 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier AI, Flowise, LangFlow, StackAI 🔹 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, DALL·E, Flux, Midjourney, ControlNet, GPT-4 Vision 🔹 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Synthetic dataset generation, LLM evaluation frameworks, Ragas, DeepEval 🔹 𝐋𝐋𝐌𝐎𝐩𝐬 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: LangSmith, Langfuse, TruLens, Weights & Biases 🔹 𝐌𝐋 & 𝐍𝐋𝐏: PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, sentence-transformers 🔹 𝐋𝐋𝐌 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK, BentoML, Modal, Replicate 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. Warm regards, Aayush Saini