Manik Dhingra
Senior Machine Learning Engineer at Qualcomm
Old Toronto, Ontario, Canada
Summary
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Top SchoolManik Dhingra is a Senior Machine Learning Engineer with eight years of experience, currently building neural network architectures for computer vision at Qualcomm AI Research. He holds an MSc in Computer Science from Lakehead University and combines research-driven deep learning expertise with practical MLOps and backend skills demonstrated in projects like quic/sense, where he improved video capture, FPS handling, and user interaction features. His background spans real-time vision model fine-tuning in PyTorch, expanding production exercise-detection catalogs, and shipping scalable Python tooling that dramatically reduced configuration overhead. Comfortable bridging research and production, he also brings Android development experience and a knack for pragmatic engineering—adding audio alerts and robust recording controls to make vision systems more usable in real-world settings.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Information Technology, 81.14%, Bachelor of Technology, Information Technology, 81.14% at Maharaja Agrasen Institute Of TechnologyMaster of Science - MS, Computer Science, 93.87%, Master of Science - MS, Computer Science, 93.87% at Lakehead University
Stackoverflow
1reputation
0reached
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Github Skills (10)
video-processing10
video-recording10
opencv10
python10
computer-vision9
command-line-interface8
docopt8
audio-processing7
automations7
automation7
Programming languages (2)
Github contributions (5)
quic/sense
Nov 2020 - Mar 2021
Enhance your application with the ability to see and interact with humans using any RGB camera.
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:32 reviews, 111 commits, 31 PRs in 4 months
Contributions summary:Manik primarily worked on the video capture tool, enhancing its functionality with features like an 'overwrite' flag, refactoring recording logic, and fixing issues with the frames-per-second (FPS) calculation. Their contributions involved modifying Python scripts to control video recording parameters. Additionally, the user also incorporated audio alerts, and added the ability to skip and exit video prompts.
pytorchdeep-learningcameracomputer-visionneural-networks
manikd31/opencv-scripts
Aug 2021 - Nov 2021
Demo OpenCV scripts to use for projects.
Contributions:2 PRs, 65 pushes, 1 branch in 2 months
pythoncomputer-visionopencv-demo
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