- π MS in Data Science, The George Washington University
- π οΈ I like solving real-world problems that make people's lives easier
- π¬ Ask me about Agentic AI, LLMs, RAG, hybrid retrieval, prompt engineering, and Python.
- π I enjoy AI/ML competitions, hackathons, and collaborating on interesting projects
- π Currently building production-style RAG pipelines over technical documentation, healthcare databases, and complex knowledge sources
Recently shipped Kuberacle, a production Kubernetes documentation assistant with hybrid retrieval, reranking, citation validation, and abstention behavior, deployed on GCP Cloud Run with a curated evaluation pipeline.
Earlier, I built a cross-lingual Swiss legal information retrieval system over a 2.7M+ document corpus using cascading metadata filtering, FAISS, Cohere, and AWS Bedrock, matching English legal questions to relevant statutes and court decisions across German, French, and Italian. β View the project
Currently exploring agentic AI systems: multi-agent orchestration, tool calling, and knowledge graph-grounded retrieval.
Languages & Data
Retrieval & RAG
LLMs & GenAI
ML, Cloud & Engineering
| π GW Individual Contributor Award | π GW Best Project Award |
|---|---|
| GW Student Open-Source Awards 2025 (LAiSER) | GW Student Open-Source Awards 2025 (LAiSER) |
| ποΈ AWS DeepRacer India Winner 2022 | π 4th Globally: AWS DeepRacer Championship 2023 |
|---|---|
| Outperformed 4,000+ participants | AWS DeepRacer Global Student Championship |


