· Led the development of the Luxolis 3D Scan app, taking full product ownership and overseeing multiple App Store releases· Worked extensively on all aspects of the app, with a primary focus on 3D graphics, API integration, deep linking, and responsive UI design· Implemented LiDAR room scanning and 3D renderer using ARKit, SceneKit and Filament to ensure a seamless end to end scanning workflow· Successfully completed a comprehensive UI/UX redesign and developed a new onboarding flow integrating Firebase social auth and Facebook analytics to increase user retention 3x· Utilized MVC architecture and followed iOS best practises to ensure a scalable and maintainable codebase

• Designed and implemented image stabilization process using SIFT featuremapping to correct camera shake on object detections• Refactored tracking pipeline to process thousands of hours of footage toimprove detections by several feet of perceived motion

• Spearheaded iOS pilot app for Johnson & Johnson digital wound care studyundergoing several rounds of certification, QA and beta testing via TestFlight • Developed workflow to take thermal images and identify inflammation byintegrating Bluetooth connectivity with peripheral device

• Managing several core members and co-op students within the radar team on Waterloo autonomous vehicle design team• The radar group focuses on dynamic object detection and real time point cloud visualization using a custom driver written in C++ and Python using ROS to communicate with the rest of the car

• Algorithm development and image processing of pupil tracking for a drug screening device used for roadside DUI arrests. • Created simulated models with OpenCV to fuse user data and artificial behavior to quantify impairment thresholds for various research studies • Utilised AWS interfaced with various API’s for large scale production, storage and deployment of thousands of simulations

• Core member of an agile team responsible for the design, development and implementation of a computer vision project for multiple CSCW/CHI research papers• Developed human activity recognition features for multi-person tracking using OpenCV pose detection and homography techniques• Optimized serialization pipeline of collected footage significantly reducing compute time

• Developed programs in python and BRAINscript to automate manual processes within the finance department• In charge of the month end securities process (now completely automated) handling over 250k lines of journal entries per month• Created an autocorrect application to scrub databases and a program to collect survey data and provide useful analytics