Nilesh Ahuja
Manager, AI ML Research at Intel Corporation
Cupertino, California, United States
Summary
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Rockstar🎓
Top SchoolNilesh Ahuja is an AI/ML research leader and manager based in Cupertino, CA, with a track record of translating state-of-the-art computer vision and probabilistic AI research into deployed products at Intel. He leads a geographically distributed team focused on adaptive edge-AI, unsupervised anomaly detection, robust perception via uncertainty estimation, and compression for machine-vision, with publications in top-tier conferences (CVPR, ECCV, ICPR). His work spans from video and signal processing to SLAM and visual-inertial odometry, and he has shepherded university collaborations and strategic research investments for industry impact. Notably, he combines deep algorithmic expertise with hands-on systems experience—taking ideas from prototype C/C++ implementations and hardware-aware optimizations through to productization.
4 years of coding experience
17 years of employment as a software developer
Ph.D. Engineering, Ph.D. Engineering at Penn State UniversityBE Engineering, BE Engineering at VJTI, University of Mumbai
Github Skills (5)
algorithms10
unsupervised-learning10
anomaly-detection10
openvino10
inference9
Programming languages (1)
Github contributions (2)
nahuja-intel/anomalib
Apr 2024 - Mar 2025
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Contributions:1 PR, 9 pushes, 1 branch in 11 months
open-edge-platform/anomalib
Apr 2022 - Dec 2022
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Contributions:3 reviews, 3 commits, 3 PRs in 8 months
anomaly-detectioninferenceanomaly-localizationanomaly-segmentationunsupervised-learning
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