Building intelligent systems — from anomaly detection to AI content pipelines
I'm an AI/ML Engineer with hands-on production experience building intelligent systems across OT cybersecurity, AI-driven localization, and content automation. I love the full stack of ML delivery — from raw data pipelines and feature engineering all the way to deployed models and LLM-powered workflows.
My background blends computer science fundamentals (real-time simulation, game engines, C/C++) with practical AI engineering — giving me a systems mindset that's rare in ML. Whether it's an anomaly detection pipeline ingesting OpenSearch telemetry or a multi-channel YouTube content engine running 5+ videos a day, I build things that work in production.
When I'm not engineering AI systems, I'm likely running an algorithmic trading bot or building game projects from scratch in OpenGL.
Aggressive algorithmic trading bot system with a multi-strategy engine. Includes Telegram integration for real-time alerts, FastAPI backend, and a Streamlit dashboard. Currently paper trading on Alpaca at $100k — moving to live.
YouTube content automation across 5 channels, producing 5+ videos per day. Full pipeline: script → storyboard → image → video → audio → publish. Orchestrates Claude, Gemini, DALL-E, Kling, and Veo APIs.
AI workflows for translation adaptation, dubbing, and short-form film/video localization. Built avatar-based ad generation pipelines and AI-assisted script creation from app store content at Lifegame.
End-to-end ML pipeline for OT cybersecurity: automated OpenSearch telemetry ingestion → time-series feature engineering → anomaly detection → LLM-powered analyst summaries. Streamlit dashboard for live investigation.
AI-assisted workflows for script generation, content assembly, and fully automated video creation. Covers storyboarding, image generation, video synthesis, and audio integration into a single automated pipeline.
Self-hosted AI tooling environment with cloud-based deployment and workflow automation. Infrastructure for running local LLMs, managing API integrations, and orchestrating multi-step AI pipelines.
From game development roots to AI engineering — these projects shaped my technical foundation. Built from scratch during my CS degree at DigiPen, these games taught me low-level systems programming, real-time rendering, and engine architecture.
First 3D game built from scratch using OpenGL. Implemented custom rendering pipeline, scene management, and game logic entirely in C++.
First 2D game built from scratch with OpenGL and FMOD audio integration. Custom 2D physics, sprite rendering, and real-time audio using FMOD.
First 2D game built with Alpha Engine. Focused on gameplay design, entity systems, and using an existing engine framework to ship a complete game.
Keyboard-controlled top-down view game built with Alpha Engine. No video available (ships as an .exe). Focused on top-down movement mechanics, map design, and collision systems.
A concise, ATS-friendly resume covering my end-to-end AI/ML engineering background — from production ML pipelines and LLM integration to cloud deployment and GenAI workflows.
Open to full-time AI/ML engineering roles from April 2026. I'd love to hear about opportunities in Singapore or remote.