Zareef Safdar

I am a Master of Visual Computing student at Simon Fraser University, mainly interested in Visual Computing, Game Development, Simulation, and Robotics. I am also currently working as a Computer Vision Research Assistant at Professor Jianbo Jiao's lab at the University of Birmingham, working on dataset generation using Unreal Engine.

My most recent role was at Ford Motor Company as an Autonomous Vehicles Simulation Software Engineer Intern. My other previous work experiences can be found below.

I am currently seeking Machine Learning, Game Development or Visual Computing related co-op and internship opportunities in Canada for the next summer, from May to August 2024.

My skills include - C/C++, C#, Python, Unreal Engine, PyTorch, Unity3D, Computer Vision.

Email  /  LinkedIn  /  Resume  /  Github

These are the projects that I have worked on, during my work experiences, coursework and also personal time. They are mostly related to Game Development, Computer Vision, and Machine Learning.

Implemented a lens distortion model using C++ and Unreal Engine 4 Material Logic with the camera in the existing codebase to improve realism of the Autonomous Vehicle simulator RGB image output.

Made a Pokemon Go Clone called A2GO, where you can walk around Ann Arbor, Michigan, United States and plant trees and feed squirrel in AR. Built using Unity3D. See a preview here here!

This is a recreation of the dungeon level of the original Legend of Zelda game for the NES with the original mechanics, but with also a new exciting level - where Link can fly!

This is 3D physics based simulation game. Take control of a melting glacier racing down a mountain on its quest to get to the sea! With the power of the mighty river you are creating on your way down, restore the balance of the world by reviving your plant allies, destroying polluting buildings, and revitalizing what is left of the land for nature.

Part of my main contributions were creating the shader graph in Unity for the river graphics, creating a custom trail renderer component for rendering the river path as it flows.

Reimplemented the DenseDepth paper by Ibraheem Alhashim and Peter Wonka using PyTorch and implemented different loss functions to train the model using a low-performance GPU.

Trained multiple image classification models,like AlexNet and ResNet, to detect and identify different vehicle classes from a dataset of images of vehicles from the Grand Theft Auto 5 Video Game.

Recreated a lab on campus inside Virtual Reality using Unreal Engine 5. See a snapshot here!

Notable Coursework - Machine Learning (In Progress), Visual Computing Lab (In Progress).

Notable Coursework - Data Structures and Algorithms, Linear Algebra, Introduction to Probability, Computer Vision, Machine Learning, Software Engineering, Self-Driving Cars, Game Development, Operating Systems, Advanced Operating Systems, Extended Reality (XR/AR/VR).

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Last updated July 2023.