Monte Carlo Simulation
Developed a simulation for electron transfer in organic semiconductors using deep learning to reduce computation time. Achieved 5% experimental accuracy compared to traditional methods.
Builder · Problem Solver · Technology Enthusiast
Also known as Tan Chun Hou · Exploring systems, IoT, and web technologies
I love building things that solve real problems. Whether it's integrating ML models for computer vision, optimizing performance with Rust and WebAssembly, or crafting clean backend systems—I get excited about finding the right tool for the job. Currently exploring the depths of systems programming, IoT, and cross-platform mobile development.
"Choose the right tool for the right job, not just what's available at hand. Keep learning."
Developed a simulation for electron transfer in organic semiconductors using deep learning to reduce computation time. Achieved 5% experimental accuracy compared to traditional methods.
Designed a dedicated authentication service written in Rust, working with NGINX to provide API-level user access control with high performance and security.
Created a fault-tolerant Rust process to retrieve large datasets from warehouses. Features robust logging, configurable scheduling, and error recovery mechanisms.
A real-world case study on accessing camera framebuffer in Flutter, and why we ended up building a custom plugin with Rust
Why I chose HTMX, Nunjucks, and Tailwind over WordPress and React for a simple landing page
I'm always experimenting with new technologies. Currently exploring embedded systems and WebAssembly optimization.