Jack-Ziad Hawa
Senior Computer Vision Researcher @BusPatrol
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WORK HISTORY
Senior Computer Vision Researcher @BusPatrol
Montreal, QC, CA
Built a multi-vehicle tracking system in pytorch from multiples camera angles on school buses with license plate detection and reading using yolov8, strongsort, classical AI search optimzation algorithms and post image processing. Obtained 95% accuracy.• Synthetically generate AI variations of existing data to improve training using Stable Diffusion and ComfyUI• Using off the shelf latest AI algorithms to detect make and color of cars, monocular depth estimation, projecting one camera view unto another using homography projection and lane detection.• Performed camera calibration for scene understanding and 3D reconstruction• Deployed and ran AI solutions on the Nvidia Orin edge device using DeepStream• Setup a CI/CD ML testing platform with Docker, CML and Github Actions, on on-premise GPUs to manage ML experiments in order to validate multiple models before deployment.
EDUCATION
McGill University
Graduate Diploma
McGill University
Professional Certificate in Data Science and Machine Learning
McGill University
Computer Engineering
SKILLS
ABOUT JACK-ZIAD HAWA
What am I known for? Always get the job done no matter what! Who am I? A person who loves to take complicated high-dimensional data, finding valuable insights and patterns in the data using statistics and/or deep learning, presenting findings to business through human-readable metrics and friendly dashboards, package the whole thing in a shippable model, and deploy it to production in an efficient and scalable manner while monitoring its performance.
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