Hire Gotham - Fine-Tuning Engineer

About gotham

Long story short: I’m that guy who takes boring, 3-hour manual work and turns it into “click, query, ho gaya” using GenAI, RAG, and a lot of carefully managed chaos. I work as an AI/ML Engineer, mostly living in the world of RAG systems, LangGraph workflows, OCR pipelines, and LLM fine-tuning. If the problem sounds like “humans are doing this on Excel + WhatsApp + pain”, that’s usually where I enter. Recent scenes: - Built Jeevani, a production focused RAG platform where gaushalas and agri teams ask biomass questions in plain language and get SQL-backed answers instead of 3+ hour report marathons. 1000+ facilities, LangGraph orchestration, hybrid search, the full jugaad-to-production arc. - Shipped FormExtract AI, a 6-stage Azure Document Intelligence + Gemini pipeline that reads messy forms, extracts key-values, lets humans quickly validate, and spits out clean Excel/JSON/PDF. Time saved? Let’s just say ops teams stopped hating forms that much. - Built Indic-Voice-AI, a multilingual voice companion that understands 18 Indic languages, remembers context, detects emotion, and replies with natural TTS — all in ~6–10 seconds end-to-end on FastAPI + pgvector + LangGraph. - Fine-tuned Qwen 2.5 Coder 7B with QLoRA on 10K+ samples, squeezed it into consumer-GPU budgets with 4-bit quantization, and still got big jumps in task accuracy. Basically, model ko gym bheja aur RAM bhi bacha li (Model bhi happy, wallet bhi). Tech stack wise, I’m most at home with Python, FastAPI, LangChain/LangGraph, RAG pipelines, vector DBs (FAISS/Chroma/pgvector), Hugging Face Transformers/PEFT, Whisper, Azure Document Intelligence, Gemini, PostgreSQL, Docker. I’ve applied this across internships and production projects at SSH Softtech and UptoSkills, not just side demos. On paper: BCA, 9.18/10 CGPA (Top 1%) from Christ Academy, plus 200+ hours of focused training in RAG, LLM fine-tuning, LangGraph, ML and DL. In reality: obsessive debugger, late-night experiment guy, and the friend people call when “LLM se kuch karna hai par pata nahi kya”. I’m looking for GenAI / AI Engineer roles where the expectation is: own the problem, design the data and architecture, build the RAG/LLM/voice/vision pieces, and ship something actual users rely on — not just another “hello world” chatbot. If that’s your scene too, DM open. Pata nhi kyu par LAGAV SA HO GAYA HEI LLMs ke SAATH (maybe because it's a friend you can TRUST on )

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