B.E. CSE (Data Science) · Honors in AI & ML | RAG Pipelines · Multi-Agent AI · Generative AI
I build LLM-powered systems — RAG pipelines, multi-agent workflows, and document intelligence tools. Background in data analytics and business analysis; now focused on production-ready GenAI engineering.
| Project | Description | Tech |
|---|---|---|
| Document Q&A RAG Pipeline | Production RAG system with Cohere reranking (top-20 → top-5), RAGAS evaluation, and Gemini 2.5 Flash streaming | Gemini, Pinecone, Cohere, RAGAS, Streamlit |
| Financial Document Analyzer | Multi-agent system that reads financial PDFs and returns structured investment insights via REST API | CrewAI, FastAPI, OpenAI, Serper |
- Production RAG pipelines with embedding optimization, reranking, and automated evaluation (RAGAS)
- Improving LLM output quality through structured prompting, tool use, and agent memory