Sasha Hydrie is a safety researcher based in San Francisco with eight years of software and machine learning experience bridging research and engineering. After studying math and computer science at the University of Minnesota, Sasha moved through roles from backend and full‑stack engineering to ML research fellowships and quantitative finance engineering stints, demonstrating a knack for applying rigorous quantitative thinking in production settings. Currently focused on safety research, they blend hands‑on model work with systems engineering experience gained at startups and finance firms. Sasha’s background includes short, intensive engagements that suggest an ability to ramp quickly and deliver in fast‑paced, high‑stakes environments. Colleagues would describe them as a curious generalist who pairs mathematical rigor with pragmatic software delivery. An unexpected detail: Sasha once signs their profile with a pomelo on their head, hinting at a playful, unconventional approach to serious technical problems.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Math, Computer Science, Bachelor of Science - BS, Math, Computer Science at University of Minnesota
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