Quant/ML Portfolio

A curated collection of technical projects focused on probabilistic modeling, calibration diagnostics, and systems-aware machine learning.

Projects

I plan to add new projects to this portfolio as they are completed and validated.

Interactive crisis probability and latent-factor dashboard built from latent_liquidity_quant outputs with Plotly.

Kalman to particle-flow benchmark with emphasis on NEES calibration, failure analysis, and compute trade-offs under stress.

Multi-track finance portfolio covering fixed-income state estimation, market-risk calibration, and signal assimilation.