Anam H.
AI Developer | AI Agents, RAG, LangGraph, Voice AI | Production-Ready
Most AI projects don't fail at the demo. They fail in the gap between "it works on my laptop" and "my team can rely on it every day." That gap is exactly what I close. I'm an AI developer (Top Rated, 5+ years in software) focused on AI development for real businesses: AI agents, RAG chatbots, voice agents and automation, carried all the way to production. Everything is tested on your real data, deployed, documented and handed over. DOES THIS SOUND FAMILIAR? • Your chatbot sounds confident but gives wrong answers from your own documents • A prototype impressed everyone, but nobody knows how to make it safe, fast and affordable to run • Your team wastes hours on repetitive work that an AI agent could handle • You've been burned by a developer who disappeared after the demo If yes, we should talk. WHAT I BUILD FOR YOU • AI agents and multi-agent systems that take real actions in your tools, not just chat (LangGraph, LangChain, OpenAI, Claude) • RAG chatbots and internal knowledge assistants that answer from your documents and say so when they don't know (Pinecone, pgvector, FAISS, Qdrant) • Voice AI agents and speech-to-text services for customer support and call automation (Whisper, Gemini) • Generative AI features and workflow automation with n8n and API integrations: CRMs, databases, email, spreadsheets, internal tools • Document processing, OCR, and web scraping pipelines that turn messy data into something usable • AI features added to your existing SaaS product, with FastAPI or Node.js backends and React or Next.js frontends HOW WE WORK TOGETHER 1. Listen first. A short call in plain language, no jargon. I learn how your business actually runs. 2. Prototype fast. You see something working early, so we decide with real results, not slides. 3. Test on real data. I measure accuracy, speed and cost, and fix weak spots before launch. 4. Ship it properly. Deployment on GCP, AWS or Azure with Docker and CI/CD, plus security and error handling. 5. Hand over and support. Clear documentation, so you're never locked in or left guessing. WHAT I'M DELIVERING RIGHT NOW • A production Whisper speech-to-text transcription service on GCP • An AI assistant and workflow automation for a real-estate business • Python web scraping and data extraction pipelines • Production hardening for web apps: payments, security and versioning • A fintech platform with a secure TypeScript / Node.js backend I also built a RAG-based internal AI chatbot with the OpenAI API for a client who rated the work 5 stars. WHY CLIENTS KEEP WORKING WITH ME My reviews keep coming back to the same things: I take full ownership, I communicate clearly, I deliver ahead of schedule, and I stay involved in every part of the project. I work as both an Applied AI Developer and a Forward-Deployed AI Engineer: I sit close to your team, understand the real problem first, then build the solution around it. TECHNOLOGY AI & LLMs: OpenAI, Claude, Gemini, Llama, Hugging Face Agents: LangGraph, LangChain, OpenAI Agents SDK, CrewAI, AutoGen RAG & Search: Pinecone, pgvector, FAISS, Weaviate, ChromaDB, Qdrant Voice AI: Whisper, Gemini, speech-to-text, voice agents Backend: Python, FastAPI, Django, Flask, Node.js, REST APIs, WebSockets Frontend: React, Next.js, TypeScript, JavaScript Data: PostgreSQL, Supabase, MySQL, MongoDB, Redis Cloud & DevOps: GCP, AWS, Azure, Docker, GitHub Actions, CI/CD AI Quality: evaluation pipelines, guardrails, observability, prompt testing, retrieval optimization GREAT FIT IF • You want a real working system, not a prototype that stalls • You value straight answers, including when AI is not the right tool for a task • You need an AI developer who understands your business, not only the code TO GET STARTED Send me three things: the problem in your own words, the tools your team already uses, and what a successful result would look like. I'll reply with a clear plan, the main risks, and a realistic estimate.