Computer Science (Hons.) · Multimedia University · Kuala Lumpur
I'm Micheal — an AI engineer and Computer Science (Hons.) student at Multimedia University, specialising in Software Engineering (Class of 2027).
I build production agentic AI: multi-agent orchestration, retrieval-augmented generation (RAG), knowledge-graph traversal, and Model Context Protocol (MCP) tooling, across TypeScript/Node, Python, and AWS. I've never been content just using things — as a kid I took apart whatever was in front of me, and that curiosity turned into shipping software and fixing hardware as an IT technician through college.
As founding AI engineer at AIBC, I led the technical architecture of DAC — a multi-agent knowledge-graph RAG platform — and built Medusa, a reusable agent runtime spanning four LLM providers. My current founding project is Moirai Flow, a deterministic, governance-first workflow engine that makes AI agent pipelines reproducible and auditable instead of probabilistic black boxes.
I'm a GitHub Campus Expert, and I directed BarCamp Cyberjaya 2025 — MMU's largest student-led tech event. Right now I'm open to freelance and part-time work building AI agents, automation, and full-stack products — and to internships in AI or software engineering.
Deterministic agentic workflow engine
My founding project: a deterministic, governance-first workflow engine for AI agents — turning agent pipelines into reproducible, auditable executions instead of probabilistic black boxes. Built for safety- and compliance-critical teams where unpredictable agent behaviour is a non-starter. Working prototype on an existing agentic stack.
Agentic AI · AIBC
AIBC's evolving agent platform: DCS (smart RAG) → DAC (knowledge-graph + vector RAG) → DACv2 (autonomous, Medusa-powered). The aim is to turn unstructured documents into something an agent can reason and act over.
Reusable agentic engine · AIBC
AIBC's reusable agentic engine. Security gateway in front of every tool call, MCP-native transport, and a hybrid neuro-symbolic cascade that combines cheap heuristics with multi-LLM validation before any irreversible action. Powers DACv2; the first prototype task built on top of it is the Unsubscribing Agent, used to stress-test the engine's autonomy.
Smart RAG · v1 of DAC
The first milestone of the DAC line at AIBC. AI document processing pipeline — Chandra OCR (deployed on AWS SageMaker) extracts text from scanned PDFs and images, structured chunks land in PostgreSQL with pgvector + pgai for hybrid semantic + keyword retrieval, and a LangGraph RAG agent answers queries with persistent long-term memory.
Generalizable conversational agent framework
A channel-agnostic conversational agent framework — one codebase powers a WhatsApp property-sales assistant and the real-estate sales agent delivered for a freelance client (v1 shipped, ongoing work). Property-listing RAG, knowledge-base RAG, human-takeover dashboard, and pluggable LLM providers (Anthropic / OpenAI / Google) so the agent can be tuned for cost or quality.
AI-driven emergency alert system
Real-time disaster alert and search-and-rescue platform. Nine AWS Lambda functions (Serverless Framework) scrape Reddit for disaster reports, validate them against NOAA / USGS data, and serve heatmaps and evacuation routes through an MCP-bridged Google Maps integration. Amazon Bedrock Nova Pro does the language work.
Emotion-aware smart keyboard
A custom Flutter keyboard that analyses the emotional tone and sentiment of the live conversation and suggests context-appropriate replies in real time — with conversation memory to keep context across turns and Google Gemini generating the responses.
Cross-platform meal recommender
A small app for the chronically indecisive. Suggests meals based on user preferences and location.
The cadence is the point — each one a forced exercise in scoping, shipping, and not falling asleep at 3am.
Chat-first STEM learning platform where an agent builds interactive 3D learning rooms on demand — a Guide agent plans the lesson, a Builder generates a sandboxed Three.js scene, and a Critic validates it before the learner sees it; the tutor then teaches inside the room. Next.js, TypeScript, Three.js, OpenAI Agents SDK, DynamoDB, S3. With Shi Wei Leong.
Vision-only AI agent that autonomously navigates mobile web apps to surface UX friction — no CSS selectors or DOM inspection, just screenshots. Detects issues across eight categories, scores them P0–P3 by severity, and returns root-cause analysis with actionable fixes. Playwright + Gemini Flash 2.5 Vision + Streamlit.
AI finance app for Malaysian gig workers — handles irregular income, self-managed tax, no-employer EPF, and receipt parsing for people the banking system still treats as an edge case. Next.js + Django + Gemini 2.0 Flash + pgvector.
AWS-serverless disaster monitor — scrapes Reddit, runs NLP, cross-validates against NOAA / USGS / NASA, and renders verified events on a live map.
Prediction-market arbitrage scanner — pulls real-time odds from Polymarket and Kalshi side-by-side and flags spreads worth taking.
Insights chatbot for Grab MEX (merchants) under the +AI vision — RAG over transaction data so partner restaurants can ask plain questions of their own numbers. Domain 3, Task 2.
AI-powered healthcare assistant for disease management — built for the AI & Data Science track.
Real-time cybersecurity dashboard — Scikit-learn models on NSL-KDD / CIC-IDS-2017 score incoming logs for phishing, malware, and insider-attack likelihood, with geo-located IPs, anomaly detection, and one-click block actions. Flask + MongoDB + React, WebSockets for live updates. Built for the AI-driven Cybersecurity Solutions track.
Twitter-sentiment-to-market predictor under the Social Trading challenge — tag the Eliza agent under an influencer post and the dashboard surfaces the trend for users to call bullish or bearish. Eliza ate too many bugs; pivoted to Make.com inside 24 hours to ship. With Sky Yap, Lim Xin Yi, and Mui Rui Xin.
Selected for GitHub's competitive student technologist leadership program.
Faculty award for academic excellence.
Led delivery of MMU's flagship technology event — 250 attendees, MDEC partnership.
Directed marketing for MMU's largest student-led IT community across 6 major events.
My full credentials live on a separate page — view or download them there.