Summary
Jonathan Sanchez is a seasoned software engineering leader with 11 years of experience building production ML and embedded systems, currently serving as Director of Software Engineering at Capital Rx in Denver. He brings deep hands-on expertise in Python, Java, and C++, and a track record of architecting real-time, edge-deployed ML pipelines—most notably an NVIDIA TX2-based image classification system and live model-swapping for airborne inference at Lockheed Martin. A pragmatic manager and former founder, he has led small remote teams, shipping tooling from enterprise image-labeling apps to reinforcement-learning integrations with high-fidelity simulators. Jonathan pairs technical breadth across infrastructure, backend services, and embedded compute with strong communication and problem-solving skills developed through both engineering leadership programs and early operations roles.
11 years of coding experience
10 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Florida International University
AA, Accounting, AA, Accounting at Miami Dade College
Spanish, English