AI Engineer · GenAI · LLMs · RAG · Agentic Systems · Computer Vision
I'm an AI Engineer who builds production-oriented AI systems — LLM, RAG, and multi-agent pipelines — with a solid computer-vision background. I care about the engineering behind the models: systems that are evidence-grounded, tested, and genuinely deployable — not just notebooks.
My professional experience spans production LLM and multi-agent systems, voice-to-voice assistants, and document-intelligence pipelines. Much of that work is client- or employer-owned and isn't public — the repositories here apply the same engineering standards to projects I can share openly.
- GenAI & LLMs — OpenAI API · Ollama · OpenRouter · Groq · Gemini · RAG · DSPy · prompt engineering
- Agentic Systems — multi-agent orchestration · tool use · CrewAI · n8n · evaluation & validation
- Retrieval & Vector Search — FAISS · Pinecone · Sentence-Transformers
- Document AI — Azure Document Intelligence
- Computer Vision — YOLOv11 · ByteTrack / BoT-SORT · OpenCV · TensorFlow / Keras
- Backend & MLOps — FastAPI · SQLAlchemy · Streamlit · Docker · pytest · GitHub Actions · Railway
- Languages — Python · JavaScript
A couple of highlights from my public repositories — the full set is pinned below:
- FitNova — Sales-Call Intelligence — a local-first speech→LLM analytics platform (transcription, diarization, evidence-grounded scoring and issue detection) exposed through a FastAPI API, a Typer CLI, and a Streamlit dashboard over one shared data layer, backed by a full test suite.
- Suproc AI Agent — a safe, deterministic agentic workflow whose validator independently re-derives every recommendation from the source data, with prompt-injection handling and a mandatory human-approval gate.
↳ More — a deployed RAG + memory agent, a production RAG service, a multi-agent document-QA system, and computer-vision work — in the pinned repositories below.
- LinkedIn — linkedin.com/in/divyansh-gautam
- Email — divyansh0410@gmail.com