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I code to orchestrate agents, and orchestrate agents to code.
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
- 2025 Exchange at KTH Royal Institute of Technology (Stockholm)
Experience
Legalwise Genie
Feb 2025 – Oct 2025
Software Engineer, Product
- Owned the product roadmap and shipped CaseLens using React, FastAPI and PostgreSQL (Supabase), automating the extraction of unstructured case data into structured, presentation-ready legal analysis templates.
- Engineered multi-jurisdictional reasoning pipelines (Singapore, India, UK) for multiple case types through systematic prompt engineering and post-output schema validation, significantly reducing average case analysis review time.
Singapore Institute of Legal Education (SILE)
Jun 2025 – Aug 2025
IT (AI Engineering) Intern
- Built a modular RAG benchmarking framework evaluating multiple pipeline configurations over unstructured corpora, using metrics such as ROUGE, BLEU, precision and custom domain-specific benchmarks, with vLLM for fast inference and Qdrant vector database, enabling reproducible experimentation and evidence-based configuration selection.
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
- Conducted literature reviews on retrieval, summarisation and evaluation, and translated them into iterative agentic pipelines using methods such as Stanford's STORM and programmatic prompting with DSPy, to generate citation-grounded synthetic legal texts.
- Built lexical, semantic and hybrid retrieval infrastructure on Vespa with 8000+ court judgments to support RAG-based legal reasoning workflows.
- Designed structured query logging and human feedback pipelines to curate training samples for fine-tuning a ColBERT re-ranker.
- Engineered end-to-end ETL pipelines using AWS, Docker, and Airflow to automate ingestion of legal regulations and guidelines.
Projects
Sharing practical tools I've built to speed up my own workflows, and hopefully yours too.
- A lightweight Chinese Hanyu Pinyin tool with real-time Pinyin alignment, instant dictionary lookups, and text-to-speech capabilities, deployed on Cloudflare.
- A native macOS desktop app for Excalidraw using Electron and React, with filesystem-backed persistence, native Finder file associations and multi-canvas management beyond browser localStorage limitations.
- A native Markdown viewer for Mac to quickly read and preview multiple .md files with a clean, distraction-free interface for notes and documentation, built with Tauri.
- An asynchronous web app that finds the cheapest Ryanair flight combinations across flexible dates and destinations, built with FastAPI and HTMX.
Certifications
Attained in Jun 2025
Skills
Languages:
Python
C++
SQL
JavaScript
HTML/CSS
Frontend:
React
HTMX
Backend:
FastAPI
Database:
PostgreSQL
MySQL
Supabase
AI & ML:
PyTorch
Langchain
Automation, Cloud & DevOps:
GCP
AWS
Docker
Linux
Writing & Publications
Medium — Guide to setting up private AI agents on a VPS with Tailscale
Aug 2022
Medium (Chainlex) — Legal analysis of US sanctions on Tornado Cash