Daniel Dandurand is a machine learning engineer in San Francisco with 11 years of experience bridging software engineering, data engineering, and applied ML. He currently builds ML systems at Meta after prior roles scaling test automation and data pipelines at test.ai and Compliance.ai. Grounded in a physics education from Swarthmore and UC Berkeley, he brings a quantitative mindset to production ML challenges and engineering reliability. Colleagues would describe him as someone who prefers shipping pragmatic, future-facing solutions over academic perfectionism — he wants "the future to be awesome" and works accordingly.
11 years of coding experience
4 years of employment as a software developer
Physics, Physics at University of California, Berkeley
Bachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at Swarthmore College
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Daniel Dandurand - Machine Learning Engineer at Meta