ML Engineer • AI Systems Builder • Agentic-AI Enthusiast
M.S. CS (Machine Learning) @ Georgia Tech - GPA 4.0
I’m a systems-minded ML engineer who thrives where research meets production. My recent work revolves around agentic LLM pipelines, model–tool orchestration (LangGraph / Letta), and latency-critical inference systems. Outside of AI, I’ve worked on bioinformatics and fintech tools.
- Universal MCP Assistant – FastAPI + Letta app that auto-routes user intent to specialized tools for seamless AI-powered automation.
- Agentic Teaching Bot – Autonomous agent that digests fresh LLM papers/blogs daily and serves bite-size insights through vector search.
- Go Multi-Agent Orchestrator – Designing a Go-based framework to coordinate autonomous AI agents and MCP servers for scalable, low-latency workflows.
| Area | Key Tools |
|---|---|
| LLM & Agentic AI | LangGraph • Ray • Letta • FAISS |
| ML / DL | PyTorch • Transformers • scikit-learn |
| Backend | FastAPI • Django • Flask |
| Data & DevOps | AWS • GCP • Docker • SparkSQL • MongoDB |
| Languages | Python • C++ • JavaScript • SQL |
| Project | What it Does | Tech |
|---|---|---|
| Universal MCP Assistant | Single-entry AI assistant that inspects queries and dispatches to relevant MCP servers with observability built-in. | Python • FastAPI • Letta |
| Agentic Teaching Bot | Crawls arXiv & tech blogs, embeds with FAISS, and summarizes via LLM to cut manual literature review by 80 %. | LangGraph • FAISS • OpenAI |
| Summer of Bitcoin ’22 | Contributed to Specter Wallet where I enhanced privacy features using an SQL based cache and asynchronous requests. | Python • Flask |
| Google Summer of Code ’21 | Built new gameplay mechanics and AI-driven NPC systems for The Terasology Foundation’s open-source game. | Java |
(Full list ➜ see my pinned repos)
I’m open to roles & collaborations in:
- LLM infrastructure / agentic-AI platforms
- High-throughput ML systems & MLOps