Mudit Jain
Co-Founder And CTO at Stealth Startup
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMudit Jain is a Silicon Valley CTO and technical leader with 9 years of hands-on experience building and scaling ML-first products and engineering teams. As a former Technical Lead on Google DeepMind’s Gemini agentic platform and a head of engineering at VinBrain (acquired by NVIDIA), he has led integrations of agent tooling, ML training/deployment pipelines, and product launches that impacted 100M+ users and earned top internal recognition. He co-founded a stealth startup and serves as a Menlo Ventures fellow and active angel investor with 17 early-stage bets, demonstrating a strong founder-investor perspective. His engineering roots include productionizing large-scale distributed training and multi-GPU SGD (contributions to Microsoft CNTK) and launching AutoML NLP at Google, blending deep research experience with pragmatic production delivery. Notable but less obvious: he has repeatedly translated research into regulated healthcare wins (DrAid, US collaborations and FDA paths) and holds multiple patents from his work across Microsoft and other roles. Based in Mountain View, he combines product intuition, deep ML systems knowledge, and operator experience to move ambitious AI products from prototype to production.
9 years of coding experience
15 years of employment as a software developer
Indian Institute of Technology KanpurComputer Science, Computer Science at Stanford University
French
Github Skills (14)
neural-network10
machine-learning10
deeplearning-ai10
c-language10
cntk10
deep-learning10
cprogramming-language10
deep-neural-networks9
cplus9
distributed-systems9
cpp9
python8
dotnet-core4
csharp4
Programming languages (2)
Github contributions (5)
microsoft/CNTK
Feb 2017 - Jun 2018
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:59 commits, 1 PR, 37 pushes in 1 year 4 months
Contributions summary:Mudit focused on improving the BlockMomentumDistributedLearner within the Microsoft Cognitive Toolkit (CNTK), a deep-learning toolkit. Their work involved fixing BMUF metrics averaging and other synchronization issues. The user also contributed to fixing bugs in the metric aggregation process, which prevented duplicate data from being read by workers in the model. These changes aimed to improve the accuracy and efficiency of distributed training in the context of deep learning models.
pytorchpythondeep-learningc-plus-plusmachine-learning
muditjai/Speech
Dec 2016 - Aug 2018
Contributions:25 pushes, 17 branches in 1 year 8 months
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