Hi, I’m Chris.
Optimization & ML Engineer
I build optimization and ML systems that decide where products get made, shipped, and stocked. I take things from zero to one: rough prototype to something people actually use to make decisions.
Featured Projects
Optimization, ML, and the seams between them.
Stochastic Inventory Explorer
A web app that optimizes reorder policies over thousands of simulated demand futures, not a single forecast.
PTO Calendar Optimizer
A free web app that plans your PTO for you. A CP-SAT solver finds three optimized strategies to choose from.
Dual-Hop VPN with Terraform and V2Ray
A self-hosted VPN with a relay hop and an exit hop in two AWS regions. One terraform apply stands it all up.
Writing
Notes on optimization, ML, and building things.
How Much Should You Order? A Stochastic Optimization Demo You Can Play With
I built a web app that solves a textbook inventory problem in a non-textbook way: it optimizes a reorder policy over thousands of simulated demand futures instead of one forecast.
Optimizing Your Time Off: A PTO Planner Built on CP-SAT
I built a web app that treats vacation planning as a constrained optimization problem. CP-SAT sweeps a Pareto frontier over vacation-block counts and hands back three strategies to pick from.
Building a Dual-Hop VPN with Terraform and V2Ray
Ahead of a trip where I knew everyday tools would be blocked, I built a multi-hop VPN from scratch with Terraform, Docker, V2Ray, and Nginx, and recently open-sourced it.
Backorder Prediction for the Defense Logistics Agency
My deep-learning contribution to a Defense Logistics Agency study: an LSTM sequence-to-sequence model in TensorFlow forecasting 12-month backorders across ~30K SKUs.