Ashwin Vijayakumar
Product And Business Lead at Intel Corporation
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolAshwin Vijayakumar is a product and business lead with 10+ years building software, services and hardware-adjacent products across AI, robotics, IoT and automotive electronics from Portland, OR. He has a proven track record at Intel and Qualcomm of turning technical prototypes into new business units—scaling Intel NUC’s IoT SAM by 120% and launching revenue-sharing Edge-to-Cloud offerings while leading cross-functional global teams. Technically grounded from embedded automotive safety and VPU-based AI accelerators to Movidius NCS image-classification work, he blends engineering depth with commercial rigor to ship SDKs, validation tools and production hardware. A founder and early innovator, he catalyzed robotics initiatives by hacking smartphone SoCs into autonomous robots and winning executive sponsorship to form new business lines. He pairs a data-driven, storyteller approach to product vision with hands-on contributions to developer tooling, and is known for pragmatically bridging hardware-centric cultures to software-driven monetization.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Engineering, Electronics & Communications, Bachelor of Engineering, Electronics & Communications at Visvesvaraya Technological UniversityMasters, Advanced Computer Architecture and Digital Design, 3.833, Masters, Advanced Computer Architecture and Digital Design, 3.833 at Western Michigan University
English, Hindi, Kannada
Github Skills (7)
computer-vision10
opencv10
python10
ai10
image-classification10
c-language6
cprogramming-language6
Programming languages (5)
Github contributions (5)
movidius/ncappzoo
Oct 2017 - Sep 2018
Contains examples for the Movidius Neural Compute Stick.
Role in this project:
ML Engineer
ML EngineerContributions:114 commits, 42 PRs, 11 pushes in 11 months
Contributions summary:Ashwin contributed to the image classification application within the Movidius NCS repository by creating a Python script for image classification. The user implemented and tested code for loading and pre-processing images using OpenCV, loading a pre-trained model, and performing inference on the NCS. The user updated the image classifier by adding image display functionality, allowing the user to visualize the output of the classification. Subsequent commits refined the display and ensured proper window closing.
deep-learningstickneural-compute-stickmachine-learningneural-network
ashwinvijayakumar/ncappzoo
Oct 2017 - May 2018
Contains examples for the Movidius Neural Compute Stick.
Contributions:58 commits, 110 pushes, 30 branches in 7 months
deep-learningstickneural-compute-stickmachine-learningneural-network
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