Ashwin Vaidya
AI Research Engineer Scientist at Intel Corporation
Groningen, Groningen, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolAshwin Vaidya is an AI research engineer with nine years of experience, currently advancing anomaly detection and edge inference at Intel while pursuing an MSc in Artificial Intelligence at the University of Groningen. He blends practical systems work—contributing backend and ML fixes to the open-source anomalib project and improving model loading, tests, and HPO integrations—with production-focused tooling like CI, Docker, and experiment tracking. Comfortable moving models from research to constrained hardware (OpenVINO, NCS2), he has a track record in algorithm implementation, benchmarking and developer ergonomics. Outside code, Ashwin is a space enthusiast and writer who balances long-distance running and squash with technical curiosity, reflecting a disciplined, multidisciplinary approach to making intelligence cheaper and more accessible.
10 years of coding experience
12, PCM with CS, 93.4%, 12, PCM with CS, 93.4% at Army Public School, Shankar ViharMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of GroningenBachelor of Engineering (B.E.), Computer Engineering, 8.25 SGPA (First Class with Distinction), Bachelor of Engineering (B.E.), Computer Engineering, 8.25 SGPA (First Class with Distinction) at Maharashtra Institute of Technology
English, Hindi, Dutch
Github Skills (9)
pytorch10
machine-learning10
deep-learning10
anomaly-detection10
python10
model-testing9
back-end-development9
unsupervised-learning9
documentation8
Programming languages (7)
Github contributions (5)
open-edge-platform/anomalib
Nov 2021 - Jan 2023
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:10 releases, 1006 reviews, 134 commits in 1 year 2 months
Contributions summary:Ashwin's contributions focused on improving the loading and usage of machine-learning models, specifically within the DFM (Deep Feature Mapping) algorithm. They fixed several issues related to model inheritance, class renaming, and the correct application of docstrings. Moreover, the user addressed comments from pull requests and updated the test suite to ensure metrics were being correctly compared and computed for different model types, thereby improving the stability and usability of the model loading process.
anomaly-detectioninferenceanomaly-localizationanomaly-segmentationunsupervised-learning
ashwinvaidya17/ashwinvaidya17.github.io
Jul 2019 - Apr 2026
My Presonal Website
Contributions:1 PR, 23 pushes, 2 branches in 6 years 10 months
presonal-websitejavascriptreactpresonal
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.