Andrew Desousa is a founding engineer and software developer with eight years of experience building machine learning, distributed systems, and infrastructure across startups and large tech firms. He has moved from research—developing synthetic data and GAN-based pipelines for perception at BMW—to production services like real-time identity verification at Uber and platform work at Microsoft, and now leads engineering efforts at a stealth startup in San Francisco. Comfortable across data, ML, and systems, he blends academic training from TUM and University of Miami with hands-on product delivery. A pragmatic problem-solver, he often bridges research prototypes and production-ready services, reflecting a pattern of turning experimental ML ideas into reliable, scalable systems.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Technical University of Munich
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Miami
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