Arvind Somasundaram
Machine Learning Engineer at Zoox
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolArvind Somasundaram is a Machine Learning Engineer with eight years’ experience building computer vision, generative AI and statistical ML systems, currently developing Catalog Intelligence models at Meta. He has a strong research-to-production background—from doctoral work on differentiable physics and cloth manipulation transferred to real-world robots to industry projects that extract human measurements and reconstruct bodies from video. His career blends academic rigor from TUM and ETH Zürich with product-focused roles at startups and Meta, including work on lip-synced multilingual video generation and large-scale NLP tools for StudySmarter. Comfortable across pose estimation, 3D human mesh fitting, and end-to-end ML systems, he pairs deep technical expertise with practical deployment experience in the San Francisco Bay Area. An under-the-radar strength is his track record of converting complex research (e.g., implicit N-D representations and optimization layers) into robust, deployable solutions.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Informatics, Master of Science - MS Informatics at Technical University MunichBachelor of Engineering (Honors) - BE (Hons) Computer Science, Bachelor of Engineering (Honors) - BE (Hons) Computer Science at Birla Institute Of Technology and Science, Pilani Dubai
Github Skills (19)
multiprocessing10
openai-gym9
deep-reinforcement-learning8
pytorch7
reinforcement-learning7
python7
prediction7
classification6
gpu5
word2vec5
algorithms5
machine-learning4
natural-language-processing4
nlp4
object-detection4
Programming languages (1)
Github contributions (5)
ArvindSoma/a3c-super-mario-pytorch
Feb 2018 - Apr 2018
Reinforcement Learning for Super Mario Bros using A3C on GPU
Contributions:10 commits, 26 pushes, 1 branch in 1 month
gpureinforcement-learningdeep-reinforcement-learninga3c-lstmsuper-mario-bros
anshul0708/MLMI_Exercises
Jun 2017 - Jun 2017
Contributions:4 pushes in 1 day
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