Mayank Agarwal
Software Engineer, Machine Learning at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolMayank 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.
11 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science in Computer Vision, Master of Science in Computer Vision at Carnegie Mellon University
Github Skills (12)
generative-adversarial-network10
pytorch3d9
3d8
stylegan7
deep-learning6
mongodb6
discriminator6
pytorch5
point-cloud3
tensorflow3
python1
bigbluebutton1
Programming languages (1)
Github contributions (5)
mayankgrwl97/gbt
Dec 2022 - Mar 2023
Official PyTorch implementation of GBT: Geometry-biased Transformers for Novel View Synthesis
Contributions:6 commits, 12 pushes, 1 comment in 3 months
pytorch
mayankgrwl97/awesome-gans
Sep 2020 - Feb 2021
Latest resources on Generative Adversarial Networks
Contributions:62 commits, 58 pushes, 1 issue in 4 months
generative-adversarial-network
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