Carlos de la Cruz.

I build product software for AI workflows. My lanes are backend systems, applied AI, and full-stack AI product. Recent work includes a polymer-blend ML/RL system with TI Automotive, a career-exploration product used by millions of students at Xello, open education tools at Centennial's OER Lab, and vector search work at Exactera.

2,159 contributions in 2026

2,159 contributions in 2026
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Recent writing

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Polymer Project: Introduction

This is the story of how I got the chance to work on an AI/ML project for the largest manufacturing company in North America.

15 min

Selected work

№ 01

TI Automotive Polymer ML

Applied ML/RL system for proposing polymer blend recipes from OEM target specs, built around a forward model, physics features, uncertainty, and model-based search.

Python · PyTorch · scikit-learn · pandas · model-based RL
2026 Applied ML engineer active
№ 02

TryAgent CA

Multi-tenant agent-box platform with isolated customer runtimes, runtime-node allocation, lifecycle operations, and five live OVHcloud nodes generating roughly $120 MRR.

TypeScript · Effect TS · Go · OVHcloud
2026 Founder / product engineer active

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