MSCS @ Northeastern Former Research Engineer @ NEU Human-centered AI Lab. Building low-level systems and infrastructure for LLM / AI applications.
- Languages (comfortable): Rust, TypeScript/JavaScript, Python, Java, C
- Systems: Linux, networking, concurrency, distributed systems (Paxos/Raft, microservices)
- Infra & Data: PostgreSQL, Redis, Kafka, Docker, Kubernetes (basic), AWS/GCP
- ML / AI: PyTorch, RAG pipelines, LLM evaluation & tooling
| Project | Tech | What it is |
|---|---|---|
| human-agent-collab | TypeScript, React, Node, Docker, PostgreSQL, Redis, Kafka | Human–agent collaboration platform for HCI researchers with MTurk integration and multi-agent orchestration. |
| paxos-kv | Java, gRPC, Paxos, Docker | Distributed key–value store implementing multi-Paxos and fault-tolerant replication. |
| simple-redis-rust | Rust, Tokio | Redis-like in-memory data store implementing the RESP protocol and basic persistence. |
| PR_RAG | Python, FastAPI, PgVector | Retrieval-augmented generation service with vector search and pluggable evaluation hooks. |
| Forward_Forward_Algorithm | Python, NumPy, Jupyter | Experimental implementation of Hinton's Forward-Forward training algorithm. |
From time to time I share my learnings and thoughts on Medium