Trading infrastructure, data pipelines, and statistical models. Currently running a live Bayesian confidence engine on Hyperliquid perps.
Live on mainnet, $1,554 personal capital, 2x leverage cap, 9 risk gates. Eleven-module pipeline: regime classifier, FIFO position reconstruction, two-tier slippage model, tiered A/B/C promote-gate. 50 random wallets through it as a null distribution — 0 passed. The harness, not the trade, is the artifact.
Production data pipeline scraping 25+ sources across 8 states for a Fortune 500 company. Automated what took 20+ hours/week of manual work.
Android app for warehouse receiving with offline-first architecture and DataWedge SDK integration.
Org chart visualization for 140+ employees across 7 departments with customizable hierarchy views.
Dashboard analyzing overtime patterns, equipment maintenance schedules, and workforce productivity metrics.
Interactive facility mapping tool with inventory analytics built using R Shiny.
Interactive security equipment layout designer for facility floor plans.
23. Building trading systems and data infrastructure. Live on Hyperliquid mainnet with $1,554 of personal capital — running a regime-stratified backtest harness that scored 50 random wallets as a null distribution and rejected all 50. The harness, not the trades, is the artifact. See the full tearsheet → By day I build pricing intelligence pipelines for a Fortune 500 company.
DM me about trading systems, quant work, or anything interesting.