Software, AI & a little curiosity
I’m Johan, a computer science + quantitative finance student at NUS. I build AI tools, explore financial systems, and make useful things for the web.
The best introduction is a working demo.
Explore my work01 / The work
Real previews. Direct links.
Try a demo or explore the results.
Ask a question about company filings. Follow the answer back to the evidence behind it.
35 synthetic cases · graded accuracy: 41.4% Gemma / 40.0% baseline.
Explore market signals using live Yahoo Finance data (latest close, 15-min cache), with a real-snapshot fallback.
A webcam-guided prototype for exploring myopic far-point measurement. A research experiment, not a clinical eye test.
Small experiments in financial risk: margin cascades, liquidity stress, factor crowding, and more. Browse the outputs.
Inspect financial QA tests, evidence checks, and failure cases. The published run compares deterministic systems, without an LLM.
02 / Behind the builds
See the apps in action.
Recorded using live OpenAI API responses.
Learn by teaching an AI novice.
Language practice with adaptive lessons.
English captions and transcripts are available for every recording.
03 / The person behind the projects
Singapore · National University of Singapore
I’m studying computer science and quantitative finance at NUS. My projects sit between the two, with a few detours into language learning, computer vision, and everyday tools.
I’m interested in AI engineering, fintech, and research tooling. If you’re building in these areas, I’d love to hear about it.
Let’s talk v.johan2234@gmail.com