Alec Hodgkinson is a software engineer with 11 years of experience specializing in deep learning, rapid prototyping, and production-ready model deployment across startups and large teams in the San Francisco area. He has built end-to-end systems from sensor firmware and synchronized multi-modal data capture to high-throughput inference servers and scalable perception pipelines, and has co-authored research presented at NeurIPS workshops. Comfortable touching the full stack, Alec speeds up data collection and tooling (e.g., a Flask front end that cut recording time 50x) and moves prototypes into real-time systems running 60+ FPS. His background in mathematics and a computer science minor informs rigorous model design and technical writing, while his recurring roles at companies from Panasonic to DoorDash show a blend of research curiosity and product-oriented engineering.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics Minor in Computer Science, Bachelor of Science (B.S.) Mathematics Minor in Computer Science at Rensselaer Polytechnic Institute
Contributions:16 commits, 22 pushes, 1 branch in 1 year 2 months
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