Summary
Kane Rodriguez is a software engineer with 10 years of experience building production-grade ML systems, embedded software, mobile and web applications from Chicago. Currently at an applied machine learning startup, he has productized research into microservices that drove seven-figure revenue and scaled property-insight pipelines to compute millions of records in under 48 hours. His background spans C++, Python, TensorFlow, Kubernetes, and real-time computer vision—delivering everything from 30 FPS finger-tracking assistive tech to distributed load-testing and model training pipelines. Kane combines an electrical and computer engineering foundation (dual BS, 3.96 GPA) with hands-on freelance experience in decentralized finance and BCI-enabled assistive technologies, indicating a rare mix of low-level systems thinking and user-focused product design. Colleagues describe him as the engineer who translates cutting-edge ML prototypes into reliable, customer-facing services.
10 years of coding experience
3 years of employment as a software developer
Associate of Engineering Science (A.E.S.), Engineering, 3.73/4.00, Associate of Engineering Science (A.E.S.), Engineering, 3.73/4.00 at Kishwaukee College
Bachelor of Science - BS, Electrical Engineering, 3.96/4.00, Bachelor of Science - BS, Electrical Engineering, 3.96/4.00 at Southern Illinois University, Carbondale
python, javascript, c++