Bhargav Krishnamurthy
AI Software Engineer, WinAI at NVIDIA
California, United States
Summary
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Rockstar🎓
Top SchoolBhargav Krishnamurthy is an AI software engineer with eight years of hands-on experience building and optimizing machine learning systems, currently focused on model deployment and runtime efficiency at NVIDIA WinAI. He holds a master’s in Computer Science from USC with a 3.9 GPA and has applied research-grade techniques—federated learning analysis, client-drift metrics, and homomorphic encryption—toward privacy-preserving model aggregation. Prior roles at Samsung R&D and TensorOpera sharpened his production engineering skills across wearable IoT and large-model efficiency, while academic work at USC bridged image segmentation and 5G channel prediction. Recognized for data science insight and pragmatic experiments that revealed pitfalls in drift-correction methods, he combines rigorous research instincts with a “model mechanic” ethos for diagnosing and tuning complex ML stacks. Based in California, he brings a rare mix of production software craftsmanship and deep ML research experience to scale real-world AI systems.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, 3.90 / 4, Master's degree, Computer Science, 3.90 / 4 at University of Southern CaliforniaBachelor of Engineering, Computer Science, 9.2/10, Bachelor of Engineering, Computer Science, 9.2/10 at College of Engineering, Guindy
Stackoverflow
23reputation
7kreached
0answers
1question
Github Skills (45)
simulation10
ai-agent10
silo10
inference-engine10
cross-device10
marketplace10
federated-learning10
distributed-training9
large-scale9
python9
security9
machine-learning9
blockchain9
mlops9
scale9
Programming languages (4)
Github contributions (5)
Deepak-Ceg/sleep-stage-scorer-summer-intern-project-
May 2018 - Jan 2023
Contributions:4 pushes, 6 comments, 6 issues in 4 years 8 months
bhargav191098/bhargav191098.github.io
Aug 2023 - Oct 2024
Contributions:29 pushes, 1 branch in 1 year 1 month
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