AI and systems engineer specialising in designing, building and deploying scalable, production-grade AI systems — with a particular focus on Generative AI, agentic architectures, retrieval-augmented generation (RAG) and high-performance computing. Strong computer-science foundation from SUTD, Stanford and the University of Waterloo, and a track record of taking projects from concept to deployment with measurable business impact at companies like Singapore Airlines and Grab.
Experience
- Architected a Pilot Training GenAI tutor LLMs driving a 40% increase in pilot proficiency and earning the SVP/CTO Staff Award.
- Built AgentSL, a scalable platform that lets technical and non-technical teams autonomously deploy production-grade AI agents — democratising AI adoption across the enterprise and earning the CEO Innovation Award.
- Created a smart MCP (Model Context Protocol) server and client that automatically adapts to frequently changing booking-system APIs for travel agents, reducing debugging tickets by 40%.
- Developed an internal tool that automatically extracts critical information and generates insights from Finance Board Papers, saving roughly 240 hours of manual work per quarter.
- Resolved a critical bug in a high-stakes, real-time driver job-allocation system through deep systems data analysis, custom event trackers and debugging of state transitions at scale.
- Led end-to-end development of a core driver-facing Android feature (MVVM, Dagger) and deployed it across all of Grab’s operating countries, boosting driver activity.
- Contributed creative adjustments to the driver-job matching algorithm during Grab-a-thon to increase available jobs.
- Taught Calculus II to a cohort of 50 students and ran office hours; the cohort achieved the highest average score.
- Researched network design and performance in blockchain networks and their impact on user and developer trust for decentralised applications; recognised as the best research team of five, working with SUTD professors and an MIT mentor.
Education
Bachelor of Engineering in Computer Science, Minor in Artificial Intelligence
International Honors Program
Exchange Student
Skills
Generative AI & Machine Learning: RAG & Graph-RAG, AI Agents & Multi-Agent Systems, LLM fine-tuning, LLM-as-a-judge, Deep Learning (CNNs, GANs), Reinforcement Learning, PyTorch, TensorFlow, LangChain, LangGraph, Google ADK, CUDA
Systems, Performance & Cloud: High-Performance Computing (HPC), Slurm, Apptainer, Linux (RedHat, Rocky), C / C++, Assembly, TCP/UDP networking, AWS, Google Cloud Platform, Docker, CI/CD, FastAPI, Microservices
Full-Stack & Mobile: Next.js, React, Node.js, Ruby on Rails, Android (Kotlin), Swift / iOS
Languages & Databases: Python, Java, Kotlin, C++, C#, SQL, Swift, R, Solidity, JavaScript, PostgreSQL, BigQuery, Qdrant, MongoDB, Firebase
Awards & Recognition
- CEO Innovation Award — AgentSL, Singapore Airlines
- SVP/CTO Staff Award — Singapore Airlines
- First Class Honours — SUTD Computer Science
- Only international student selected from SUTD (of 5,000) for the Stanford International Honors Program
- 2nd place — DBS × SUTD AI Challenge
- Top 10 — AI Singapore Penta Hackathon (LectureGenie)
- Winner — Swift Inclusive App Development Hackathon 2022 (VoiceBus)