Drishti Bhasin is a pragmatic machine learning and pseudo-mechanical engineer with six years of experience building AI systems that bridge software and hardware. As Co-Founder & CTO of Hanomi in the Bay Area, she’s developing an “AI teammate” that automatically analyzes, repairs, and autocompletes mechanical CAD models to accelerate time-to-production. Her background spans applied research and open-source contributions—work at NannyML on drift detection, graph neural nets at Microsoft, and NumPy/PyTorch contributions at Quansight—giving her both production ML and foundational tooling fluency. She has led student research initiatives at IIT Roorkee and explored bias in legal texts at ETH Zürich, reflecting a habit of pairing technical depth with societally aware inquiry. Colleagues know her for tackling ambiguous, high-impact problems where mechanical intuition meets modern AI.
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