Anmol Mann

Manager, AI CSE at CoreWeave

Old Toronto, Ontario, Canada
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Summary

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Anmol Mann is an AI engineering leader with nine years of experience building and scaling ML solutions across computer vision, knowledge graphs, and large language models, currently managing AI Customer Success Engineering at CoreWeave following the Weights & Biases acquisition. He blends academic rigor from an MS in Computer Science with hands-on product and support leadership, having moved from research and developer roles into customer-facing technical management. Anmol has a background as a software developer and graduate researcher, and uniquely pairs technical problem-solving with entrepreneurial instincts demonstrated by multi-year independent stock trading. Known for treating engineering as both art and science, he focuses on turning research-grade models into reliable, production-ready workflows for teams. Based in Old Toronto, he brings cross-functional experience across startups and service roles, often translating complex ML concepts into actionable solutions for customers.
code9 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Victoria
bookDelhi Public School - Pinjore
bookBachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Chitkara University
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Github Skills (48)

gitbook10
pytorch10
visualization10
python10
data-science10
machine-learning10
dvc10
reinforcement-learning10
hyperparameter-optimization10
keras10
gitlab10
data-versioning10
mlops10
deep-learning10
api10

Programming languages (6)

TypeScriptHCLCSSJavaScriptJupyter NotebookPython

Github contributions (5)

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A GAN architecture conditioned on Action Units (AU) annotations generating facial expressions in a continuous domain.
Contributions:15 commits, 1 PR, 14 pushes in 1 year 11 months
pythonfacial-expressionscontinuouscomputer-visionunits
anmolmann/sortingAlgorithms

Sep 2016 - Jan 2019

A sorting algorithm is an algorithm that puts elements of a list in a certain order. The most-used orders are numerical order and lexicographical order. Efficient sorting is important for optimizing the use of other algorithms (such as search and merge algorithms) which require input data to be in sorted lists
Contributions:1 PR, 3 pushes, 2 branches in 2 years 4 months
sorting-algorithmrequireinput-datasorted-listselements
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Anmol Mann - Manager, AI CSE at CoreWeave