I love turning real‑world problems into simple, data‑driven solutions—whether
that means a business solution for a Fortune 500 pipeline or a weekend Python
project that tracks drones at 120 km/h.
About Me
I’m a third‑year B.Sc. Natural Sciences student (Computer Science & Math) at the University of Calgary and a current Power Platform Intern at Intelbyte. My daily focus is on building production‑ready Power Apps and Automate flows for enterprise clients.
I enjoy blending software, data, and a dash of mechanical know‑how to solve practical problems—whether that’s automating inventory checks, tracking drones at high speed, or refactoring a website for faster load times. When I’m not coding, you’ll catch me mentoring peers and exploring new tech stacks.
Skills & Tools
Tech Stack: Python, Java, JavaScript, SQL, Power Apps, Power Automate, Power BI
Dev & Ops: Git, Azure DevOps, HTML/CSS, Excel (advanced)
Libraries: OpenCV, PyTorch, Google Analytics
Focus Areas: Low‑code app development, workflow automation, data visualization
Projects
Drone Pursuit Tracking Project (SkyPro)
Developed a camera vision system using AI in Python to detect and track targets in real-time.
Leveraged OpenCV libraries and simulated Lidar data to enhance tracking accuracy and responsiveness.
Collaborated with a team to develop a Java-based implementation of the classic Pac-Man arcade game.
Integrated JavaFX for the GUI, implemented game mechanics, and developed features like leaderboards
and dynamic difficulty levels.
A comprehensive final design report for a miniature crane model, detailing the design,
constraints, and evaluation. Explores the mechanical engineering approach behind wind
turbine rotor assembly.
I’m always looking for challenging opportunities that combine software, artificial intelligence, and mechanical design.
If you’d like to collaborate or discuss any projects, feel free to get in touch!
