Computer Science undergraduate at the National University of Singapore, working across algorithms, AI/ML, quantitative systems, and software engineering.
Currently an AI Engineer at AICET, Team Koditsu, researching model-based cheating-risk signals for coding assessments.
Previously built internal agentic tooling at GIC, including custom evaluations and Arize tracing.
Also an Undergraduate Teaching Assistant for CS3230 and CS3263 at NUS.
Technical focus:
- AI/ML: PyTorch, Hugging Face, PEFT/LoRA, agentic LLMs, custom evaluations, Arize tracing
- Systems/Data: FastAPI, pytest, Snowflake, PostgreSQL, Supabase, Spark, Docker, AWS
- Quantitative: probability, statistics, regression, optimisation, expected-value modelling
- Programming: Python, C/C++, Java, SQL, Swift, TypeScript

