Anand Hegde is a machine learning engineer and teaching assistant with nine years of experience specializing in model optimization and on-device inference for mobile and IoT platforms. He has driven end-to-end solutions at Samsung—spanning data pipelines, model design, quantization, and deployment on flagship devices like the Galaxy S24—and has worked on edge-cloud collaborative inference to cut DNN latency under real-world constraints. Currently pursuing a Master’s in Artificial Intelligence at Northeastern University while based in Mountain View, he blends research-minded experimentation with production-focused engineering. Notably, Anand has experience patenting innovations and performing on-device porting using vendor toolchains, reflecting a knack for translating research prototypes into performant, deployable systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at PES University
Masters Artificial Intelligence, Masters Artificial Intelligence at Northeastern University
PikShare is a picture / video sharing application built on top of Windows Azure.
Contributions:1 PR in 1 year 7 months
windowssharingcsharppicturevideo
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Anand Hegde - Teaching Assistant at Northeastern University