AI/ML Engineer with production experience building high-accuracy RAG and text-to-SQL pipelines, optimizing LLM inference at scale, and deploying enterprise AI systems. Pursuing a B.Sc. (Hons) in Computer Science at the National University of Singapore with a focus on AI & Algorithms. Passionate about bridging the gap between research and real-world AI applications.
- 🎓 Studying: B.Sc. Computer Science (Honours) @ NUS — AI & Algorithms Focus
- 🧪 Current: ML Research Intern @ NEA / MSS / CCRS — AI weather forecasting with GNNs & Transformers
- 📈 Incoming: Private Equity Quantitative Strategist Intern @ GIC — evaluation pipelines for investment analysis
- 🔭 Internship: AI/ML Engineer @ V-Key — Building production RAG & LLM systems
- 🏆 Achievements: 2× First Runner-Up & 2× Finalist in National Hackathons
- 🌟 Selected for: Google AI CTO Bootcamp — Advanced AI Systems & Agents
- 🧠 Exploring: Agentic AI, Multi-Agent Systems, Advanced RAG Architectures
- 💬 Ask me about: LangChain, RAG Pipelines, vLLM Optimization, PyTorch
- 🌏 Based in: Singapore 🇸🇬
- ⚡ Fun Fact: Former real estate agent turned AI engineer — I sell ideas now, not houses!
 Jul – Dec 2026 |
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 May – Jun 2026 |
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 May – Dec 2025 |
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Business Automation Agent System — Best Project Award Led and built a multi-agent system for business communications with RBAC, policy grounding, approval-gated workflows, and task automation. Scored 24/25 and received Best Project Award in cohort.
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Autonomous Agent Orchestrator — Self-Directed Project Architected a self-hosted AI team with specialised computing, administration, and research agents coordinated by a secretary agent for delegation, inter-agent communication, workflow tracking, and monitoring.
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AI-Powered Academic Planning Platform — Hack & Roll 2026 Custom topological-sort planner for automated 4-year schedule generation. RAG-powered AI adviser with pgvector & text-to-SQL for module recommendations.
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AI Agent with CNN + A* Search — Top 1-5% in NUS CS2109S End-to-end AI agent solving grid tasks with dynamic hazards. Custom PyTorch CNN for 21-class tile recognition achieving 100% accuracy. Score: 97/100.
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No-Code Agentic AI Platform — SimplifyNext × AWS Hackathon Semifinalist Deploy personalized agentic AIs in under 5 minutes. No-code configuration platform enabling rapid AI agent deployment and customization.
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Tower Defense Game — Dual Campaign Modes Comprehensive tower defense game featuring Stick of War campaign mode and Bokemon vs Stick survival mode. Built from scratch with custom game engine.
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B.Sc. (Honours), Computer Science — Aug 2025 – May 2028
Data Science & Artificial Intelligence — Aug 2024 – Jul 2025
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🥈 2× First Runner-Up — National Hackathons 🏅 2× Finalist — National Hackathons 🎖️ Google AI CTO Bootcamp — Selected Representative 🎯 Top 1-5% — NUS CS2109S (Score: 97/100) 🏆 Best Project Award — Multi-Agent Business Orchestrator (24/25) 🏫 NUSSU CommIT — Training Cell Sub-Committee |
I'm always excited to collaborate on AI/ML projects, discuss RAG architectures, or brainstorm the next big agentic AI idea. Whether you're a fellow student, a startup founder, or just curious — let's connect!
