Vignesh Jagadeesh
Director, Machine Learning at Apple
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolVignesh Jagadeesh is a Director of Machine Learning with over a decade of experience building applied R&D teams that bridge computer vision research and product-grade ML for consumer devices. Based in the San Francisco Bay Area, he leads cross-functional efforts focused on visual scene understanding—driving pipelines from data and model optimization to on-device inference and ML quality. His teams deliver perception systems for classification, saliency, aesthetics, segmentation, search and customizable models that power user-facing features at scale. Trained as a PhD researcher in computer vision, he brings deep technical roots in large-scale image analysis and a pragmatic product mindset, often working backwards from long-term roadmaps to design ML workflows. An understated strength is his focus on making sophisticated visual reasoning and image translation techniques robust and efficient enough for real-world, on-device experiences.
10 years of coding experience
6 years of employment as a software developer
Anna University, ChennaiDoctor of Philosophy (PhD), computer vision and image processing, Doctor of Philosophy (PhD), computer vision and image processing at UC Santa BarbaraMaster of Science (MS), Electrical and Computer Engineering, Master of Science (MS), Electrical and Computer Engineering at University of California, Santa Barbara
Github Skills (79)
angularjs10
angularjs-material9
ngrx9
rxjs9
redux9
observables9
lts9
angular8
cli8
javascript8
transformation8
reactive8
state-management8
materialize8
decorator8
Programming languages (3)
Github contributions (5)
vigneshnrfs/node-monitor-ui
Sep 2016 - Sep 2016
Contributions:19 commits, 14 pushes, 1 branch in 9 days
vigneshnrfs/zipkin-javascript-opentracing
Mar 2018 - Aug 2018
Opentracing implementation for Zipkin in Javascript
Contributions:14 pushes, 1 branch in 4 months
javascriptopentracingzipkin
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