Backend · Data · ML Engineer. I build things that move data fast, make LLMs useful, and don't fall over in production. USC MS CS (Dec 2025) — open to SWE / Backend / Data roles.
Currently grinding LeetCode. Graphs and DP are humbling me daily 🫠
stack = {
"languages": ["Python", "Go", "C", "Java", "TypeScript", "SQL"],
"data": ["PySpark", "Spark", "Parquet", "ETL at scale"],
"llm_ml": ["LangChain", "RAG pipelines", "PyTorch", "HuggingFace"],
"backend": ["FastAPI", "Node.js", "GraphQL", "REST"],
"infra": ["Kubernetes", "Docker", "Terraform", "AWS", "GCP"],
"databases": ["PostgreSQL", "MongoDB", "MySQL", "Redis"],
}- url-shortener-go — RESTful URL shortener in Go with Redis rate limiting and real-time click tracking
- llm-inference-router — dynamic router across LLM providers (OpenAI, Anthropic, HuggingFace) optimizing for latency and cost
- weenix-os — UNIX-like kernel in C with preemptive threading, virtual memory, and a VFS layer. built it from scratch. would not do again