Pioneered innovative lane information utilization strategies, which bolstered route-planning capabilities, and enhanced vehicle localization techniques through cutting-edge deep learning algorithms, primarily built using Python and PyTorch.
Conceptualized and orchestrated the C++ development pipeline for intricate traffic light management. This involved advanced computing concepts ranging from mapping systems to Kalman Filters, and Hidden Markov Models for refining post-light detection processing. The primary focus remained on eliminating any spurious detections and strengthening the association between lane-mapping and localization.
Directed a proficient team of 10, ensuring a collaborative environment that fostered creativity and innovation.
Overlooked system integration and rigorous reliability testing procedures to maintain peak code robustness.
Streamlined and optimized the existing codebase, emphasizing agile methodologies and iterative improvements.
Held comprehensive code review sessions, ensuring the development of a trustworthy and fail-safe system.
TECHNOLOGY DIRECTOR
University of Toronto Robotics Association (UTRA)
University of Toronto Robotics Association (UTRA)
Sep 2023 - Present
As the Technology Director at UofT Robotics Association, I've been privileged to lead the technological vision for UTRA's renowned Robotics Hackathon - heralded as Canada's premier robotics event. This role has given me the opportunity to shape the future of robotics by overseeing intricate facets from hardware, software, to mechanical integrations.
My leadership was pivotal in steering a mammoth task force comprising 400 enthusiastic hacker participants, 100 dedicated volunteers, and industry mentors. This feat was achieved through a synergized collaboration with the esteemed Robotics Institute. Furthermore, my role was instrumental in framing the hackathon's evaluation standards by developing its scoring rubrics in tandem with the judges and awards committee.
Directed Canada's top-tier Robotics Hackathon, positioning UTRA at the forefront of innovation.
Strategically advised on hardware selections, optimizing budgeting processes and ensuring cutting-edge tech integration.
Played a critical role in event success by devising robust evaluation standards and troubleshooting operational issues.
Honed a vast array of skills including Robotics, Leadership, and fostering Teamwork.
Software Developer Intern
Swap Commerce
Swap Commerce
May - Sep 2021
As a Software Engineer Intern at Swap Commerce, I played a pivotal role in shaping the technological advancements of the company's key platforms. My time here was marked by the design and development of a state-of-the-art enterprise-grade administrative dashboard, meticulously constructed using Flutter and Dart.
My dedication to the role saw me spearheading numerous initiatives, most notably an optimization project that not only streamlined workflows but also directly contributed to a $1 million boost in revenue.
Designed a top-tier administrative dashboard with Flutter & Dart, ensuring optimum performance and establishing secure connections to integral company codebase components.
Drove an optimization initiative, resulting in a remarkable $1 million increase in revenue by refining user experiences and enhancing workflows.
Bolstered application efficiency and reliability through rigorous refactoring and the incorporation of comprehensive end-to-end unit testing.
Fostered close collaborations with the tech team, pioneering the development and implementation of REST APIs, enhancing frontend-backend system communications.
Successfully integrated platform services with 40+ high-profile businesses, inclusive of industry leaders such as Sirplus and Aspiga.
Lane Detection Software Engineer
GM-SAE AutoDrive Challenge / aUToronto UofT
GM-SAE AutoDrive Challenge / aUToronto UofT
Sep 2022 - Aug 2023
Developed and optimized a state-of-the-art deep neural network. The design leveraged both supervised and self-supervised learning paradigms using OpenCV2 and PyTorch. This system was instrumental in detecting driving lanes and stop lines, a key factor behind the team's 6 consecutive wins in Year 2 of the AutoDrive Challenge II.
Conceived and put into practice a classic C++ based lane detection mechanism infused with computer vision technology, achieving a staggering 98% accuracy on even the most challenging datasets.
Played a pivotal role in earning the team accolades through consecutive wins in a prestigious competition.
Skillfully navigated the intricacies of C++, leveraging its potential for high-end computer vision applications.
Prioritized collaborative teamwork, fostering a productive and harmonious work environment.
Maintained an unwavering commitment to quality and precision, ensuring reliable software performance.
Co-Founder & Developer at Tunescape
Toronto, Ontario, Canada - UofT Hatchery
Toronto, Ontario, Canada - UofT Hatchery
May 2022 - May 2023
Co-founded Tunescape, an avant-garde startup aimed at revolutionizing music recommendation. At its core, Tunescape's algorithm prioritizes the underlying musical characteristics of songs, like key signature and tempo, providing a deeply tailored experience for users. This unique approach resonates especially with those who have undergone musical training, delivering to them a spectrum of music that matches their refined tastes.
Secured an elite spot in the University of Toronto Hatchery program by standing out among 170 applications, and further demonstrated excellence by being one of the 9 groups that progressed to the second round.
Pioneered the strategic development of monetization, conducting exhaustive market research and successfully securing project funding.
Oversaw the holistic development of a Flutter application, emphasizing code reusability and readability across platforms.
Wrote APIs in C++ that leveraged Docker and multiprocessing for streamlined handling of voluminous data points.
Merged musical theory, data science, and software engineering to birth Tunescape, a nexus of innovation in music recommendation.
Member of the Board of Directors
Engineering Society, University of Toronto
Engineering Society, University of Toronto
Sep 2020 - Sep 2021
Elected by the 1st-year engineering class to serve on the Board of Directors at the prestigious Engineering Society of the University of Toronto. Represented the voices and interests of over 1000 students at the highest level of governance within the Faculty of Applied Science and Engineering.
Advocated for the needs of first-year students, ensuring their concerns were heard and addressed by holding the Officers and Directors of the Society accountable.
Active participant in critical decision-making processes, contributing to shaping the future direction of the Engineering community.
Through this role, gained a comprehensive insight into the challenges and aspirations of fellow students, allowing for collaborative efforts to develop effective solutions for the betterment of the Engineering society.
Recognized for dedication and leadership with the prestigious Engineering Society Centennial Award, presented by the University of Toronto Engineering Society in April 2021.
Full Stack Web Developer
EYweb
EYweb
Oct 2020 - Aug 2021
Proficiently implemented dynamic websites and engaging landing pages using an array of technologies, including JavaScript, CSS, and PHP.
Transcribed client visions into reality, crafting responsive layouts and functional components that aligned precisely with specifications.
Expertly customized websites across diverse platforms, ensuring the production of efficient, maintainable, and well-documented code.
Provided invaluable technical consultancy to clients and management, guiding the selection of technologies that maximized functionality, security, and privacy, while also minimizing development timelines.
Engineered automation solutions using Python, streamlining labor-intensive tasks in e-commerce and translation workflows.
Demonstrated proficiency in both hardware and software management, skillfully handling critical security risks and optimizing operational costs.