Suraj Kothawade
Senior Machine Learning Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolSuraj Kothawade is a Senior Machine Learning Engineer with 11 years of experience, currently driving generative AI and production-scale ML infrastructure at Google from Mountain View. He has led end-to-end work on large-scale fine-tuning, controllable and identity-preserving image generation, and shipped features used by millions (e.g., Portrait Studio on Samsung Galaxy AI). His background spans research and applied ML across computer vision, robotics, IoT, and healthcare/agriculture problems, with internships and research roles at NVIDIA, USC, IIT Bombay and UT Dallas. Notably, he contributed to Imagen 3 and ImagenThings and built infrastructure that accelerates GenAI experimentation and reliable deployment across teams. He combines deep research instincts (PhD-level work) with a pragmatic focus on resource-efficient models and embedded deployments. Suraj brings a rare mix of productionization expertise and academic rigor, often translating novel research into widely used product features.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at The University of Texas at DallasMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Github Skills (44)
py10
summarize9
hyperparameters9
mutual-information9
active-learning9
logistic-regression8
deep-learning8
classifiers8
regularization8
action-recognition8
video-understanding8
gradient-descent8
sgd8
optimizers7
greedy-algorithms7
Programming languages (6)
Github contributions (5)
decile-team/trust
Jul 2021 - Jan 2023
Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your models.
Contributions:2 reviews, 35 commits, 1 PR in 1 year 6 months
personalizedatasetmodel-performanceperformanceslices
surajkothawade/talisman
Jul 2022 - Sep 2022
[ECCV 2022] "TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information" by Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer
Contributions:28 commits, 16 pushes, 1 branch in 2 months
mutual-informationobject-detection
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