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As a Computer Engineering graduate from Queen's University, I specialize in full-stack development, machine learning, and computer vision. During my co-op at Athletes United, I built a scalable web app with React and Next.js, implementing an appointment scheduling system with Stripe and a user management system for over 10,000 users. As the Software Team Lead for the Queen's Knights Robotics Team , I lead the development of object detection systems using PyTorch and TensorFlow. I also developed a computer vision project, training YOLOv8 and ResNet50 models to achieve 96% detection accuracy for automated scorekeeping. I am proficient in Python, JavaScript, SQL, and C , and I am passionate about leveraging my skills in artificial intelligence and software performance to create impactful applications.…As a Computer Engineering graduate from Queen's University, I specialize in full-stack development, machine learning, and computer vision. During my co-op at Athletes United, I built a scalable web app with React and Next.js, implementing an appointment scheduling system with Stripe and a user management system for over 10,000 users. As the Software Team Lead for the Queen's Knights Robotics Team , I lead the development of object detection systems using PyTorch and TensorFlow. I also developed a computer vision project, training YOLOv8 and ResNet50 models to achieve 96% detection accuracy for automated scorekeeping. I am proficient in Python, JavaScript, SQL, and C , and I am passionate about leveraging my skills in artificial intelligence and software performance to create impactful applications.

Adrian Slabij

Developer, Web Developer, Programmer, +5

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As a Computer Engineering graduate from Queen's University, I specialize in full-stack development, machine learning, and computer vision. During my co-op at Athletes United, I built a scalable web app with React and Next.js, implementing an appointment scheduling system with Stripe and a user management system for over 10,000 users. As the Software Team Lead for the Queen's Knights Robotics Team , I lead the development of object detection systems using PyTorch and TensorFlow. I also developed a computer vision project, training YOLOv8 and ResNet50 models to achieve 96% detection accuracy for automated scorekeeping. I am proficient in Python, JavaScript, SQL, and C , and I am passionate about leveraging my skills in artificial intelligence and software performance to create impactful applications.…As a Computer Engineering graduate from Queen's University, I specialize in full-stack development, machine learning, and computer vision. During my co-op at Athletes United, I built a scalable web app with React and Next.js, implementing an appointment scheduling system with Stripe and a user management system for over 10,000 users. As the Software Team Lead for the Queen's Knights Robotics Team , I lead the development of object detection systems using PyTorch and TensorFlow. I also developed a computer vision project, training YOLOv8 and ResNet50 models to achieve 96% detection accuracy for automated scorekeeping. I am proficient in Python, JavaScript, SQL, and C , and I am passionate about leveraging my skills in artificial intelligence and software performance to create impactful applications.

Available to hire

As a Computer Engineering graduate from Queen’s University, I specialize in full-stack development, machine learning, and computer vision. During my co-op at Athletes United, I built a scalable web app with React and Next.js, implementing an appointment scheduling system with Stripe and a user management system for over 10,000 users. As the Software Team Lead for the Queen’s Knights Robotics Team , I lead the development of object detection systems using PyTorch and TensorFlow. I also developed a computer vision project, training YOLOv8 and ResNet50 models to achieve 96% detection accuracy for automated scorekeeping. I am proficient in Python, JavaScript, SQL, and C , and I am passionate about leveraging my skills in artificial intelligence and software performance to create impactful applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Amharic

Advanced

Javanese

Advanced

English

Fluent

Work Experience

Software Developer Co-op at Athletes United

September 30, 2024 - September 4, 2025

Built a full-stack web application using React (Next.js), Supabase (PostgreSQL), and Tailwind CSS with a focus on scalable architecture and efficient data handling. Implemented an appointment and event scheduling system integrating Stripe and Cliniko (CRM) APIs to ensure secure booking workflows and transactions. Designed a user management system with OAuth protocols and membership tiers supporting over 10,000 users with secure authentication and access control. Applied unit testing with the React Testing Library to achieve 95% code coverage, significantly improving software reliability and performance.

Software Team Lead at Queen's Knights Robotics Team

April 30, 2025 - September 4, 2025

Led development of computer vision systems for object detection, target tracking, and scene analysis using PyTorch and TensorFlow. Built and trained deep learning models on custom datasets optimized for real-time performance on NVIDIA Jetson hardware. Managed a multidisciplinary team by running code reviews and delegating tasks to meet deadlines and maintain high code quality.

Computer Vision Project Developer at Squash Analytics

April 30, 2025 - September 4, 2025

Developed an open-source computer vision system using Python, OpenCV, and PyTorch to track player movement and automate scorekeeping. Trained a YOLOv8 model for player detection and a ResNet50 model for serve classification on a custom-labeled dataset, achieving 96% detection accuracy. Deployed the system for real-time inference at 30 FPS, enabling automated scorekeeping and live player tracking.

Software Developer Co-op at Athletes United

September 1, 2024 - September 21, 2025

Built a full-stack web app with React (Next.js), Supabase (PostgreSQL), and Tailwind CSS focusing on scalable architecture and efficient data handling. Implemented an appointment and event scheduling system with integrated payment processing using Stripe and Cliniko (CRM) APIs for secure booking workflows and transactions. Designed a user management system with OAuth protocols and membership tiers, supporting 10,000+ users with secure authentication and access control. Applied unit testing with the React Testing Library to create thorough test cases, achieving 95% code coverage and improving software reliability and performance.

Software Team Lead at Queen's Knights Robotics Team

April 1, 2025 - September 21, 2025

Led the development of computer vision systems for object detection, target tracking, and scene analysis using PyTorch and TensorFlow. Built and trained deep learning models on custom datasets, tuned for real-time performance on NVIDIA Jetson hardware. Managed a multidisciplinary team by running code reviews and delegating tasks to meet deadlines and maintain high code quality.

Software Engineer (Computer Vision) / Project at Squash Analytics

April 1, 2025 - September 21, 2025

Developed an open-source computer vision system using Python, OpenCV, and PyTorch to track player movement and automate scorekeeping. Trained a YOLO v8 model for player detection and a ResNet-50 model for serve classification on a custom-labeled data set, achieving 96% detection accuracy. Deployed the system for real-time inference at 30 FPS, enabling automated scorekeeping and live player tracking.