Shreedhar Kodate in

Shreedhar Kodate

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Senior AI/ML Engineer at Renesas Electronics
📍 Sunnyvale, California, United States

Shreedhar is a Senior AI/ML Engineer at Renesas Electronics, specializing in Computer Vision and Large Language Models. A graduate of Worcester Polytechnic Institute and the Indian Institute of Science, he focuses on developing large-scale deep learning systems to accelerate edge AI applications. Colleagues have described him as meticulous and an expert.

Driven by a relentless pursuit of excellence, Shreedhar values critical thinking and aims to lead by example. He is an intent listener who contributes thoughtfully to conversations. His professional focus includes applying AI in healthcare, underscored by his previous projects and stated interest in companies like GE HealthCare.

Interesting fact: Shreedhar co-authored a paper on using multi-agent reinforcement learning for intelligent traffic coordination, which was accepted at a prestigious NeurIPS 2019 workshop.

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Experience
3 Years
Current Role
Senior AI/ML Engineer
Job Level
Junior
Location
Sunnyvale, California, United States
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Priorities

Topics Shreedhar cares about

Deep Learning Optimization
He is currently developing a large-scale deep learning optimization system designed to expedite the creation of edge AI applications at Renesas.
Generative AI
He has engineered Gen AI systems using models like GPT and T5, and recently shared insights on advanced techniques such as Flash Attention.
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Career

Work history

1-2024
Senior AI/ML Engineer
Renesas Electronics
10-2023 - 1-2024
Data Scientist
California Institute for Regenerative Medicine (CIRM)
8-2022 - 12-2022
Machine Learning Intern
Openwater (openwater.cc)
5-2022 - 8-2022
Machine Learning Intern
Quantiphi
2-2021 - 7-2021
Senior Machine Learning Engineer
Quantiphi
In the press

Media appearances

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Education
8-2021 - 5-2023
Master of Science - MS
Worcester Polytechnic Institute
8-2016 - 12-2018
Master of Technology (M.Tech.)
Indian Institute of Science (IISc)
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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