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Michael Hoon

  • 24 years old
  • Made in Singapore 🇸🇬
  • AI/Data Engineer
  • Singapore University of Technology and Design
  • Resume/CV

About me

Hi 👋, I’m

Typing SVG


I study Systems Engineering (Business Analytics, minor in AI), and build systems where research meets production. I’m fascinated by tech for public good and enjoy turning complex problems into reliable tools. Lately, that’s meant working on multi-agent LLM systems and learning how to make data workflows scalable and resilient in the cloud.

My current focus is on AI engineering, data engineering and cloud infrastructure: I’m building pipelines that reliably move and transform data, experimenting with AI agent orchestration patterns, and deploying models so they’re useful outside notebooks.

Outside of code, I capture the world through photography, recharge on hikes, run for clarity, and travel to learn new perspectives. Someday I plan to adopt a cat 🐱!

Work Experience

Sep. 2025 - Apr. 2026

Home Team Science and Technology Agency (HTX)

AI Engineer Intern

Multi-Agent, Multi-Modal LLM System: Spearheaded development of multi-agent, multi-modal LLM system with LangGraph for multi-turn forensic reasoning in complex Singapore-specific AI-generated scams, achieving ~91% system accuracy.

Jun. 2025 - Sep. 2025

Government Technology Agency (GovTech) Singapore

Data Engineer Intern

Cloud Data Platform Modernization: Optimised Redshift data warehouse performance (-30% storage, -15% latency) and deployed a SageMaker Unified Studio analytics zone (Bedrock, Glue, Athena, DataZone) with Terraform IaC, centralizing data for 50+ users and enabling 100M+ daily clickstream insights via Firehose → S3 → Redshift → Quicksight.

Mar. 2024 - Dec. 2024

DSO National Laboratories

AI Engineer Intern

Multi-Agent RAG System: Built a containerized, graph-based local RAG pipeline (LangGraph + Ollama + Neo4j + PostgreSQL) for research assistance, generating Knowledge Graphs from PDFs and improving multi-hop query accuracy by ~30%, cutting research analysis time by 10+ hours/week.

Jan 2024 - Apr. 2024

Poh Tiong Choon Logistics Ltd.

Data Analyst Intern

Supply Chain Optimization: Analyzed delivery driver datasets with Python & Power BI to improve scheduling and built automated Bash/Python ETL pipelines, boosting driver utilization by ~20% and cutting report time from 8 h → 1 h.

Photography