Syon Capital Management
Summer Analyst · San Francisco, CAResearched investment sectors and built Python tools for portfolio construction and backtesting. Developed a portfolio optimization interface for nontechnical users.
I'm studying Data Science and Business at Chapman, with interests in rigorous optimization in machine learning and quantitative finance. My work includes experiments with training algorithms and inference latency, as well as financial analysis and portfolio tools.
I'm especially interested in comparing methods carefully, including the time and compute they need to deliver an improvement.
California · Graduating December 2026
A live S&P 500 portfolio system combining fundamental, quantitative, and macroeconomic features with machine learning and portfolio risk controls.
Run machine learning experiments with Codex or Claude Code. Upload a dataset, compare measured results, and download the trained solution.
Two language models trained from scratch: a 538M-parameter Transformer with SFT/DPO post-training and a 535M-parameter Mamba2 model without post-training.
Eleven PyTorch optimizers, including Muon, Shampoo, and K-FAC, with curvature diagnostics and an optional C++/ATen backend.
Researched investment sectors and built Python tools for portfolio construction and backtesting. Developed a portfolio optimization interface for nontechnical users.
Built an unsupervised machine learning pipeline using hundreds of thousands of financial records. Worked on feature engineering and validation.
Maintained client portfolio data and supported investment research. Wrote Python scripts to collect stock information.

I'm interested in how we decide whether a more complicated method is worth using. An optimizer can converge in fewer steps and still take longer to train. That's the kind of tradeoff I want to understand through experiments.
In quantitative finance, my interests include portfolio construction and using financial text in investment models. Outside of those projects, I enjoy rock climbing, tennis, and origami.