Pinaki Sinha
Machine Learning Engineer at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolPinaki Sinha is a Machine Learning Engineer with a decade of experience building large-scale ML systems, currently leading technical work on Apple’s GenAI Agentic Engine and ML model evaluation frameworks. He designs privacy-preserving edge inference, counterfactual testing, and hill-climbing evaluation tools that integrate speech, NLP, CoreML, and hardware teams to improve model accuracy. Prior roles span scalable recommendation and low-latency streaming infrastructure at Roku, founding a real-time engagement startup, and large-scale graph and map-data processing at Apple Maps, reflecting strong systems and research chops. He holds an MS/PhD background from UC Irvine and has a history of applied research from Google internships to multimedia retrieval, giving him a rare blend of production engineering and academic rigor. Notably, he pairs deep model-evaluation expertise with practical platform-building for semi/weak supervision and explainability across multiple ML teams.
10 years of coding experience
11 years of employment as a software developer
University of California, Irvine
Stackoverflow
11reputation
3kreached
0answers
2questions
Github Skills (24)
android-camera10
android-ndk8
android-library8
camera8
android-studio7
ticker7
python7
kotlin7
odometer6
hibernate6
deep-learning6
self-signed6
android6
lucene6
machine-learning6
Programming languages (2)
Github contributions (5)
spinaki/android-camera
Dec 2016 - Oct 2017
Contributions:104 commits, 10 PRs, 94 pushes in 10 months
cameraandroid-libraryandroidkotlinandroid-camera
spinaki/android-wheel-ticker
Dec 2016 - Apr 2017
Contributions:1 release, 17 commits, 6 PRs in 4 months
animationtickerandroid-libraryandroidodometer
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