- Location
- Richmond Hill, Ontario, Canada
- Bio
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I am a computer programmer with a good background in front-end design, artificial intelligence, and software development. He is currently pursuing his education at the University of Western Ontario with a BSc in Computer Science and delights in creating unique digital solutions as well as figuring out hard challenges.
I prefer developing in Python, TypeScript, JavaScript, C#, and C++. I have expertise in algorithmic optimization, training machine learning models, and designing user-friendly front-end interfaces. Deep learning, reinforcement learning, and system optimization are my other areas of interest.
Collaboration is a key part of my approach, I thrive in team environments, following Agile workflows and using GitHub for version control. Iβm always looking for new challenges and opportunities to expand my knowledge in AI, software engineering, and cutting-edge technologies.
- Resume
- Hossane_Resume.pdf
- Portals
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Vancouver, British Columbia, Canada
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Skills
Socials
Achievements
Latest feedback
Recent projects
Work experience
Computer Vision Engineer
University of Western Ontario
London, Ontario, Canada
December 2024 - Current
β’ Developed and deployed an autonomous self-driving miniature F1 car using Reinforcement Learning (RL) and
computer vision-based obstacle detection
β’ Collaborated in an Agile workflow, conducting weekly sprints and code review
β’ Trained a deep RL model leveraging PPO in PyTorch, optimizing path planning and collision avoidance with a 35%
improvement in lap times
β’ Implemented real-time perception using LiDAR and OpenCV, having a 90%+ detection accuracy at high speeds
Front-End Web Developer
Richmond Green Secondary School
Richmond Hill, Ontario, Canada
March 2024 - May 2025
β’ Designed and develop a Model UN website using CSS, HTML and JavaScript
β’ Led a team of 3 for the development of the responsive frontend on the committee page
β’ Assisted in implementing the websiteβs design, including choosing the color scheme, layout, and typography to
ensure a cohesive and user-friendly interface
β’ Contributed to the overall user experience by ensuring the website was intuitive and accessible for over 200 active
members
Education
Bachelor of Science, Computer Science
Western University
September 2024 - April 2028
Personal projects
AI Handwritten Number Recognition
December 2024 - February 2025
β’ Developed and trained a Convolutional Neural Network (CNN) using PyTorch, achieving 99.2% accuracy on the
MNIST dataset
β’ Implemented real-time inference optimization, reducing prediction latency to sub-10ms using CUDA/MPS GPU
acceleration
β’ Developed a two-phase training strategy with checkpointing and early stopping, cutting redundant retraining and
improving efficiency
β’ Built an automated performance tracking system, visualizing loss and accuracy trends across 50+ epochs using
Matplotlib
AI Anime Face Generator
June 2024 - June 2024
β’ Developed a deep learning model using TensorFlow in Python, achieving 95%+ accuracy in anime face generation
β’ Converted the AI model into TypeScript with an OOP approach, reducing runtime by 30% when optimized for
JavaScript and HTML
β’ Implemented a responsive web interface to showcase AI-generated anime faces in real time
β’ Applied deep learning, computer vision, and full-stack techniques to improve performance
β’ Hosted the code and tracked project versioning using GitHub
Airport Locator
February 2024 - April 2024
β’ Developed a TypeScript app to calculate airport distances using a 40000 element reference database
β’ Contributed to implementing algorithms to find the least transfer, shortest, and cheapest flights based on user
input
β’ Optimized flight data sorting with merge sort and search efficiency using binary search
β’ Designed and implemented a user-friendly frontend with HTML and CSS