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I am a recent Computing & Law graduate from the Singapore Management University with a passion for AI and software engineering. My experience spans applied AI research, backend development, and product management in both startup and institutional settings. Happy to connect!
Education
Singapore Management University
Aug 2022 – Dec 2025
Bachelor of Science (Computing & Law), Second Major in Artificial Intelligence
- Grade: Magna Cum Laude, Dean's list AY23/24
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Key courses taken:
- AI: Introduction to Artificial Intelligence • Generative AI for Natural Language Communication • Heuristic Search and Optimisation • Reasoning, Planning and Learning under Uncertainty
- Technical: Software Product Management • Statistical Thinking for Data Science • Data Management • Interaction Design and Prototyping
- 2025 Exchange at KTH Royal Institute of Technology: High Performance Computing (Python, C) • Human Centred Technology for Disabilities
Experience
Legalwise Genie
Feb 2025 – Oct 2025
Software Engineer, Product
- Developed jurisdiction-specific prompts and core platform features (such as case chat and analysis) for CaseLens, a tool for lawyers to get rich insights from legal documents.
Singapore Institute of Legal Education (SILE)
June 2025 – Aug 2025
IT (AI Engineering) Intern
- Developed retrieval-augmented generation (RAG) pipelines over unstructured corpora through data enrichment and rigorous empirical benchmarking (ROUGE, BLEU, precision, as well as other custom benchmarks), using vLLMs for fast inference and Qdrant vector database.
Competition and Consumer Commission of Singapore (CCCS)
May 2024 – Aug 2024
Data and Digital (Software Engineering) Intern
- Developed an end-to-end search interface using HTML, HTMX, FastAPI and LangChain, enabling lexical, semantic and hybrid search types and utilising query expansion for improved knowledge discovery.
- Developed scalable, modular web scraping infrastructure using object-oriented principles in Python to support flexible data extraction across diverse sources.
- Performed in-depth legacy code audits and refactored critical components, achieving a 90% (~11 hours) reduction in runtime through algorithmic and architectural optimisations.
Singapore Management University Centre for Computational Law
May 2023 – Dec 2024
Research Assistant (Artificial Intelligence) • Applied AI research for law
- Designed applied AI research pipelines for legal language models, generating high-fidelity synthetic legal texts with verified case citations for model fine-tuning.
- Conducted extensive literature reviews on information retrieval and large language models (e.g. agentic, behavioural), and applied these to the legal use case.
- Built lexical, semantic and hybrid retrieval types on Vespa to support the retrieval function of the RAG system.
- Developed an end-to-end search interface using HTML, HTMX and FastAPI.
- Engineered scalable legal data pipelines and end-to-end data engineering pipelines using AWS, Docker, and Airflow, automating web scraping, ETL workflows and legal dataset curation.
Certifications
Skills
Languages:
Python
C++
Backend:
FastAPI
AI & Vector Databases:
PyTorch
Langchain
Supabase
Cloud & DevOps:
GCP
AWS
Docker
Linux
Product & Project Management:
Github
Jira
Trello
Publications
Aug 2022
Medium (Chainlex) — Legal analysis of US sanctions on Tornado Cash