Mayank Agarwal is a software engineer specializing in machine learning and computer vision with 10 years of experience, currently building ML systems at Google in Mountain View. He holds a Master’s in Computer Vision from Carnegie Mellon and a Computer Science degree with distinction from BITS Pilani, and has blended academic research with product work across Meta, TikTok, and CMU. His contributions span 3D reconstruction and novel view synthesis—authoring a geometry-biased transformer approach with code and project materials publicly available—and practical recommender improvements for TikTok’s For You Page. Mayank has taken end-to-end ownership of data-intensive systems, from a 60M-rows/month pre-trade analytics pipeline at D. E. Shaw to GAN-driven image synthesis for fashion. Known for rapidly learning new domains and shipping productionized models, he bridges research rigor and product impact. He brings a knack for turning complex vision research into deployable solutions that improve real-world user experiences.
10 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science in Computer Vision, Master of Science in Computer Vision at Carnegie Mellon University
Contributions:6 commits, 12 pushes, 1 comment in 3 months
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Mayank Agarwal - Software Engineer, Machine Learning at Google