π Based in India Β· π€ Building with AI, agents, and data
I work at the intersection of applied AI, multi-agent systems, and data engineering β turning messy real-world data and complex workflows into systems that actually ship.
- π§ Enterprise RAG pipelines β multi-lingual document intelligence with strict source citations
- π€ Agentic systems β multi-agent orchestration with CrewAI for finance, research, and analysis
- π Data & visualization β turning APIs and raw datasets into stories worth telling
Languages: Python Β· SQL Β· JavaScript
AI / ML: OpenAI , Azure AI Foundry, CrewAI, RAG, Vector DBs, Fine Tuning
Backend: FastAPI
Data: Pandas, NumPy, Jupyter, Matplotlib
Cloud: Azure, AWS, GCP
- Observability and Monitoring in Agentic Systems
- Production patterns for RAG (chunking, retrieval evals, citation grounding)
- Better orchestration between specialized agents
- Converting raw messy data into actionable and systematic data, because why not!
- Polyglot-RAG-Azure β Enterprise RAG over multi-lingual PDFs with conversational memory
- agentic-finance-explorer β Multi-agent financial analysis with technical + adversarial risk audits
- πΌ LinkedIn: kevinmerchant13
- π» Portfolio: @merchantkevin
β‘ Always open to interesting problems in AI, agents, and applied ML.