Jul 2021 – Jan 2025 · 3 yrs 6 mos · Toronto, Ontario, Canada

• As a Software Developer at Ocado, I focused on developing advanced software solutions using Python, SQL, Golang, and JavaScript, particularly in the realms of computer vision and robotic control. I enhanced the operational efficiency of robotic arms by implementing a reservation service that prevents collisions between robotic arms and grid robots. Additionally, I created and deployed an auto-resolving service for dropped items, which significantly reduced the need for human intervention by 53%. I led a comprehensive initiative aimed at decreasing item drop rates through detailed root cause analysis, where I identified key issues and implemented targeted solutions, tracking progress via solution tickets and timelines. My contributions included integrating a machine learning-based behavior cloning model for autopilot functionality, which reduced average task duration by 2.6% and improved the grasp success rate from 82% to 89%, while decreasing fallback rates to human intervention by 13%. I also analyzed large-scale data on robotic picks to uncover trends in item drop rates and optimize pick times. To enhance remote monitoring capabilities, I expanded the front-end UI using React, adding a health check feature to ensure machine readiness. In addition to my technical contributions, I mentored three engineers through Ocado's buddy program, providing onboarding support and technical guidance, while actively participating in team planning and social initiatives to foster a collaborative and supportive team environment.

Oct 2017 – Jul 2021 · 3 yrs 9 mos · Toronto, Ontario, Canada

• Programing in C++ and python. Developement and testing for deep learning accelerator used in several different application such as self-driving cars, high frequency financial analysis, and search engines.

Jan 2016 – Apr 2017 · 1 yr 3 mos · Toronto, Ontario, Canada

• Worked with histology and optical coherence tomography(OCT) images of breast cancer. Developed image processing algorithms in Python to localize and differentiate between fatty, fibrous and tumorous breast tissue using OCT images. Tested and verified work using histology slides.