I’m a Computer Science student at NUS who enjoys building things that actually work.
I spend time across software engineering and applied ML, from backend systems and APIs to ML pipelines, optimization, and model integration. I like understanding trade-offs, structuring systems cleanly, and getting end-to-end flows right.
I’ve worked with:
- neural networks and applied machine learning
- backend and full-stack systems
- LLM-based workflows (RAG, LangChain, vector search)
- optimization problems and real-world codebases
Languages: Python, Java, JavaScript / TypeScript, Ruby
Frameworks: React, Rails
ML / AI: PyTorch, NumPy, scikit-learn, LangChain
Infra & Other: SQL, Git, Linux
