Richard Yang

Experience

• 

  WE To ME Foundation

  Sept 2017 - Jun 2018

  High School Division Treasurer

  • Worked as the director of finance in a student-run charity club that worked under Me to WE• Created budgets for events and managed the money raised• Also used surveys and collected data from participants to determine methods of minimizing costs and optimizing profit and money raised• Collected over $1,500 for charity over the term and raised over 2000 cans of nonperishable food, delivered to Eden Food Banks

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  PPL Corporation

  Jun 2018 - Aug 2018

  Pool Lifeguard

  • Was pretty fun :)• Actively monitored safety conditions in multiple neighborhood pools and coordinated social pool events for patrons• Maintained the quality of pools through consistent pool cleaning cycles and managed chemical levels via the pool pump system to supply necessary chlorine and fresh water

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  St. Michael's Hospital

  May 2019 - Aug 2019

  Biomedical Image Processing Intern

  • Learned and utilized various image processing tools such as convolutions, kernel design, segmentation methods such as kMeans, and keypoint identification methods such as SIFT, Harris, and Laplacian of Gaussian• Designed an algorithm to detect presumptuous macrophages in retinal scans with an accuracy of a trained professional while achieving a 10x increase in efficiency through the use and analysis of various spacial filters• Verified the algorithm using anonymous patient data as well as computer-generated data through the use of a forward modeling program created by myself. Show less

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  University of Toronto Hyperloop Team

  Aug 2019 - Feb 2020

  Control Systems Software Engineer

  • Worked in a team to designed and programmed a finite state machine used to guide a pod through a hyperloop track. Written using object-oriented C++ programming• Worked with microcontrollers such as Arduinos Unos to access pod data to inform the finite state machine.

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  Untether AI

  May 2021 - Aug 2022

  • Quantized multiple vision-based networks and prevented performance degradation through Quantized Aware Training and layer-by-layer accuracy debugging, ensuring under 1% performance difference• Studied popular vision network architectures and their layers to support future quantization goals • Worked on placement and routing heuristic functions, increased routing algorithm efficiency by 30%• Designed a visualization tool to provide an understanding of on-chip placement and allow for real-time edits and updated performance evaluations to assess potential validity in various placement hypotheses

  • Quantization Software Engineer

    Jan 2022 - Aug 2022

  • Placement and Routing Software Engineer

    May 2021 - Dec 2021
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  Boosted.ai

  Jun 2023 - now

  • Machine Learning Engineer

    Jan 2025 - now

  • Junior Machine Learning Engineer

    Jun 2023 - Dec 2024