Staff Applied Scientist, Tech Lead Manager at Uber
San Francisco, California, United States
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Summary
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Senior
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Top School
Gabriel Saca is a Staff Applied Scientist and Tech Lead Manager with 12 years of experience focused on AI safety and applied machine learning, currently leading teams at Uber in the San Francisco Bay Area. He has a strong track record of scaling ML solutions across ride-hailing and marketplace contexts, advancing from senior individual contributor roles to tech lead and managerial positions across Brazil and the US. Gabriel blends hands-on modeling and research with people leadership, curriculum development (machine learning bootcamps), and product-minded execution. His background includes early full-stack and entrepreneurial experience, reflecting comfort across the stack and a pragmatic approach to shipping robust systems. Notably, he pairs formal computer science training with international experience—from internships in Germany to leading teams in São Paulo—bringing both technical depth and cross-cultural collaboration skills.
12 years of coding experience
12 years of employment as a software developer
Associate's degree Informatics, Associate's degree Informatics at Instituto Federal do Espírito Santo
Bootcamp Digital Product Leadership, Bootcamp Digital Product Leadership at Tera
Master's degree (dropout) Software Engineering, Master's degree (dropout) Software Engineering at Free University of Bozen-Bolzano
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Federal do Espírito Santo
Repositório dos alunos e instrutores da turma 012018 de Data Science & Machine Learning for Business da Tera
Contributions:58 commits, 33 PRs, 53 pushes in 2 months
pythonsciencedata-sciencedosmachine-learning
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Gabriel Saca - Staff Applied Scientist, Tech Lead Manager at Uber