– Worked with Visit Lethbridge tourism to build AR applications using PlayCanvas, BlippAR, and JavaScript, promoting tourism in their city and enhancing user engagement with immersive experiences.– Led animation, level design, and programming for the "See It Be It VR Experience," a collaborative project with Elevation Aviation Learning Centre (EALC) that empowers females to pursue careers in aviation. Built using Unity and C#, the VR experience showcases real stories from women in aviation, promoting opportunities on the Meta Quest 2– Led animation, level design, and programming of immersive VR soft skills training experiences for Norquest College using Unity and C#. The first project, deployed on Meta Quest 2, educates employers about workplace biases and helps job seekers navigate bias. The second project, deployed on Meta Quest 3, focuses on debriefing processes and managing uncomfortable situations. Both were optimized for their respective platforms.

– Programmer for the development of the Commercial Truck Simulator in virtual reality (VR) for training and certification purposes.– Developed run-time and editor tools/features in collaboration with artists, designers and managers to streamline workflow of scenarios. Tools/Features include but not limited to: Prop Placement Tool, Road Authoring Tool, Vehicle/Pedestrian Population Tool, Building Generation Tool, Zone Tool.– Contributed to the enhancement and optimization of the vehicle AI system for the development of the MELT simulator using Traffic Flow Models such as Intelligent Driver Model (IDM), Improved Intelligent Driver Model, and Enhanced Intelligent Driver Model (EIDM), resulting in improved simulation accuracy and performance.– Developed additional features for the MELT Simulator using the vehicle AI system, such as obstacle detection in intersections, traffic signal control, and lane change behavior, resulting in improved overall performance and safety of the simulation.

- Assist Instructors/Professors by assessing student assignments for various math courses- Responsible for the collection, organization, and return of graded student materials on strict deadlines

- Implemented a Deep Learning framework to perform segmentation of the retinal images for glaucoma diagnosis.- Used Python with PyTorch and OpenCV libraries for developing the framework.- Achieved an overall accuracy of 84% for the image segmentation network.