Bhargav Krishnamurthy

AI Software Engineer, WinAI at NVIDIA

California, United States
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Summary

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Bhargav 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.
code8 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Computer Science, 3.90 / 4, Master's degree, Computer Science, 3.90 / 4 at University of Southern California
bookBachelor of Engineering, Computer Science, 9.2/10, Bachelor of Engineering, Computer Science, 9.2/10 at College of Engineering, Guindy
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Stats
23reputation
7kreached
0answers
1question
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Github Skills (31)

speech-to-text10
distributed-training10
ai-agent10
whisper10
machine-learning10
inference-engine10
inference10
deep-learning10
openai10
federated-learning10
gpu9
generative-ai9
ai9
mlops9
speech-recognition9

Programming languages (4)

JavaShellC++Python

Github contributions (5)

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Contributions:4 pushes, 6 comments, 6 issues in 4 years 8 months
Contributions:32 pushes, 1 branch in 1 year 9 months
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