Abhay Doke is a Senior Applied Scientist in Boston with 10 years of experience building production ML and computer vision systems at Amazon, following earlier ML engineering at Microsoft and research roles in industry. He progressed through hands-on research and engineering roles—Research Engineer to Applied Scientist to Senior Applied Scientist—owning core, high-impact projects that bridge deep learning research and scalable production services. His academic background (MS in Computer Vision & Deep Learning from UMass Amherst) underpins expertise in visual models and applied research. Colleagues rely on him to translate novel models into reliable, deployable pipelines that meet stringent product and latency constraints. He brings an unusual blend of long-term industrial research experience from TRDDC with fast-paced product delivery at hyperscalers, making him effective at both prototyping and large-scale ops. Based in Boston, he combines rigorous technical depth with a pragmatic focus on measurable business impact.
10 years of coding experience
10 years of employment as a software developer
Master of Science - Computer Vision & Deep Learning Computer Science, Master of Science - Computer Vision & Deep Learning Computer Science at University of Massachusetts Amherst
Contributions:43 commits, 42 pushes, 1 branch in 2 months
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