At WorldQuant International Quant Championship (IQC), I engineered a Python alpha-mining pipeline using Gemini 2.5 Pro on Vertex AI, backtesting and submitting 10 alphas against WorldQuant BRAIN. I achieved Gold Tier, placing in the top 6.9% of competitors.
On my NQS-Hardware-Bottlenecks project, I conducted a 22-phase ablation study on neural quantum states and achieved 99.5% thermodynamic accuracy. I also mapped hardware and compiler limits affecting autoregressive neural quantum state precision.
I co-built an AdS/CFT neural operator engine that delivered 500× speedup over classical PDE solvers at 3% L2 error. My projects also include real-time player localisation and a multimodal system for detecting life-threatening conditions.
