Integrated M.Tech Artificial Intelligence · VIT Bhopal
Building production-grade agentic AI systems, multi-agent pipelines, and real-time financial intelligence tools. Passionate about LangGraph, RAG, and fine-tuning LLMs that actually work.
I'm a 4th-year Integrated M.Tech student specializing in Artificial Intelligence at VIT Bhopal. I build systems that turn raw data and LLMs into practical, measurable intelligence.
My focus sits at the intersection of agentic AI, retrieval-augmented generation, and applied machine learning — specifically in the financial and medical domains.
I care about systems that are grounded, fast, and auditable — not just demos. Every project I ship is benchmarked with real evaluation frameworks like RAGAs and measured against concrete baselines.
LangGraph multi-agent system that autonomously retrieves and reasons over 500+ SEC 10-K/10-Q filings and earnings call transcripts. Features 5 custom financial tools and a fine-tuned Phi-3-mini model, deployed on Hugging Face Spaces with a Streamlit UI.
Production-ready Model Context Protocol server exposing 6 typed financial tools — stock screener, earnings calendar, SEC filing retriever, portfolio risk scorer, ratio calculator, and news aggregator — consumable by any MCP-compatible LLM host including Claude Desktop.
End-to-end RAG pipeline over a corpus of 200+ medical documents (clinical guidelines and research papers). Modular agentic architecture decomposes multi-step medical queries into sub-tasks using cosine similarity search over chunk-level embeddings.
Open to internships, research collaborations, and full-time roles in AI/ML engineering. If you're building something at the frontier of agentic systems — let's talk.
adityaakakade@gmail.com ↗