Omar Abid

Toronto, Ontario ·

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Welcome to my personal webpage! Here you will find background professional information as well as a collection of projects and activities I have been involved in. Site is under construction, come back later for updates!

Contact me for collaboration, technical advising, consulting or for any other needs!


Machine Learning Libraries
  • NumPy
  • OpenCV
  • Pandas
  • PyTorch
  • Scikit-learn
  • Tensorflow
Machine Learning Applications
  • Natural Language Processing (NLP)
  • Computer Vision
  • Object Detection
Languages, OS & Tools
  • C/C++
  • Java
  • Python
  • git
  • subversion
  • linux
  • bash
  • javascript
Platform Development & Administration
  • Atlassian
  • Bitbucket
  • Travis CI
  • MySQL
  • Wordpress
Other Libraries and Technologies
  • Robot Operating System (ROS)
  • Arduino, Rasberry Pi
Containers & Cloud


LSD SLAM with color PointCloud visualizer

A modification of a LSD SLAM repository to allow for PointCloud visualization with color.

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TensorFlow Object Detection with Tracking

A TensorFlow implementation of the DeepSORT algorithm for tracking of objects.

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Object Detection on Google Cloud Platform

This repository demonstrates how to do Object Detection in real time using GPUs that are available on Google Cloud for free using Google's 1 year credits.

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TensorFlow Layer Visualization

A how to guide with code for how to visualize layers in TensorFlow.

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Computer Vision based hand mouse cursor system

A vision based system that tracks hand movements and gestures to simulate mouse movements and button clicks.

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Click here for a list of all Projects.


Next AI 2018 Finalist

NextAI 2018 is a Toronto based accelerator for early or idea stage AI-enabled startups

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Archangel Summit 2017 Volunteer

This summit is the annual gathering of mission-driven entrepreneurs.

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Click here for a list of all Activities.


Computer Vision / Machine Learning Engineer

Quantiphi Inc.

A multinational consulting company working with a variety of clients across the globe. I’ve worked on a number of projects involving designing, training and deploying Deep Learning models for Object Detection, Object Tracking as well as 3D computer vision.

September 2019 - Present

Machine Learning Engineer

Curate Mobile

Leverage data to build ML models for enhanced targetting of ads to relevant users in a Real Time Bidding (RTB) system.

May 2019 - September 2019

Machine Learning Engineer

Sylphia Consulting

A short term contract based project. The client required the development of a ML algorithm for a proprietary computer vision application in the healthcare sector.

February 2019 - April 2019

Machine Learning and Computer Vision Engineer


Co-ordinated a team of developers for designingand programminga variety of software algorithms inthe securitysectorwith accuracy and performance metricson par with state-of-the art systems.Assigned roles and participated in the implementation of the software and communicated current development progress with project manager.

April 2018 - February 2019

Software Developer Associate

York University

Design and implement software interface and communication systems for York University’s Rover Team. Used C++ and Python.

November 2011 - April 2012

West Nile Virust Control Technician


See here for City of Toronto’s information on West Nile.

September 2011 - April 2013


York University

Bachelor of Science, H. Biophysics
Cumulative GPA: A
2010 - 2014

York University

Master of Science, Computer Science
Artificial Intelligence and Computer Vision. Cumulative GPA: A.
2015 - 2018


Data Engineering on Google Cloud Platform
Certification includes 5 coures. **1)Google Cloud Platform Big Data and Machine Learning Fundamentals2)Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform3)Serverless Data Analysis with Google BigQuery and Cloud Dataflow4)Serverless Machine Learning with Tensorflow on Google Cloud Platform5)**Building Resilient Streaming Systems on Google Cloud Platform
January 2019


Complete Guide to TensorFlow for Deep Learning with Python
April 2018
Applying Computer Vision and Natural Language Processing to real world problems.