I'm a Quant Researcher working with deep learning, model architecture, and experimentation.
🏁 Kaggle · 💼 LinkedIn · ✍️ Blog · ⚔️ Codeforces
👤 Background
- 💼 Work: Quant Researcher.
- 🔬 Earlier research: AI infrastructure and AutoML.
- 🎓 Education: M.S. in Computer Science at Xiamen University.
- 🟠 Codeforces:Master with a rating of 2174.
- 🥈 Kaggle: Silver Medal, 91st out of 2,665 teams, in the Kaggle - LLM Science Exam (team solution).
- 🏆 Earlier: Champion of Meta-learning from Learning Curves, 2nd Round.
🔍 Interests
- 📈 Quantitative research with deep learning models and careful experimentation.
- 🧠 Model architecture, reinforcement learning, agent systems, and research engineering.
- 🃏 Treating Kaggle competitions as compact research environments—not just leaderboards.
🚧 Recently working on
- 🌾 Kaggriculture: exploring an agent world through execution, planning, economic reasoning, strategy, and learning.
- 🤖🛠️ Working with Codex and Claude Code as research collaborators—and turning their output into artifacts I can inspect, correct, and verify.


