Govind Mittal
Software Engineer, ML at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolGovind Mittal is a software engineer focused on building production-ready machine learning pipelines that prioritize empirical performance, multi-modal capabilities, and human–AI collaboration. With nine years of experience and a PhD in Computer Science from NYU, he combines rigorous research—publishing and developing large corpora and faster state-of-the-art systems—with hands-on MLE practice at Google (Search AI). His prior work includes creating end-to-end NLP pipelines for automated event extraction and a highly cited, large-scale filetype inference corpus that improved throughput and accuracy for downstream systems. Based in Mountain View, he brings a math-first mindset from a Master’s in Mathematics and a track record of turning experimental models into deployable infrastructure. Notably, he balances deep research impact with product-focused engineering, bridging academic advances and real-world search applications.
9 years of coding experience
BITS Pilani, Birla Institute of Technology and ScienceDoctor of Philosophy - PhD, Computer Science, 3.9 out of 4.0, Doctor of Philosophy - PhD, Computer Science, 3.9 out of 4.0 at New York University
English
Github Skills (18)
swap8
fragment7
face7
multimedia6
deepfake6
scale6
image-manipulation6
large-scale6
deep-learning5
pytorch4
bayesian4
computer-vision4
bayesian-inference4
no-code1
javascript1
Programming languages (1)
Github contributions (5)
mittalgovind/fifty
Aug 2019 - Jan 2021
FiFTy: Large-scale File Fragment Type Identification using Neural Networks
Contributions:50 commits, 45 pushes, 1 branch in 1 year 5 months
security-toolsfragmentmachinelearningdeep-learningconvolutional-neural-network
mittalgovind/mittalgovind.github.io
Mar 2024 - Mar 2025
Contributions:71 pushes, 1 branch in 11 months
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