Saharsh Oza
GPU Software Engineer at Apple
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSaharsh Oza is a GPU software engineer based in the San Francisco Bay Area with a decade of experience building advanced rendering and GPU compute systems at Apple. His background blends GPU design, energy modeling, and machine learning-driven algorithm development, reflecting a rare mix of hardware-aware software optimization and research-grade problem solving. Prior roles span data engineering and computer vision work at Myntra and embedded systems projects at Texas Instruments and Bosch, giving him a strong foundation across low-level firmware, big data ETL, and CV pipelines. He holds a Master’s in Electrical and Computer Engineering from UT Austin and a high-achieving undergraduate degree from NIT Karnataka, and is known for applying cross-domain insights—like ML techniques to low-power GPU design—to practical production challenges.
9 years of coding experience
1 year of employment as a software developer
Master’s Degree, Electrical and Computer Engineering, 3.87, Master’s Degree, Electrical and Computer Engineering, 3.87 at The University of Texas at AustinHigh School, Science, 91.8%, High School, Science, 91.8% at Abu Dhabi Indian SchoolBachelor’s Degree, Electrical, Electronics and Communications Engineering, 9.35, Bachelor’s Degree, Electrical, Electronics and Communications Engineering, 9.35 at National Institute of Technology Karnataka
English, Gujarati, Hindi, French, German
Github Skills (36)
python10
machine-learning9
gpu9
deep-learning9
gpu-acceleration8
tensorflow8
acceleration8
numpy8
neural-network8
tensor7
lambda7
autograd7
serverless-functions7
serverless6
functions-as-a-service6
Programming languages (3)
Github contributions (5)
saharshoza/VisualDiary
Oct 2016 - Dec 2016
Contributions:58 commits, 52 pushes, 4 branches in 2 months
saharshoza/RedEye
Jul 2016 - Jul 2016
Contributions:7 commits, 20 pushes, 3 branches in 3 days
monitorredshiftaws-redshiftperformanceaws
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