Richard Yang
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Richard Yang Email & Phone Number

Forward Deployed Machine Learning Engineer at Stratum AI
Location: Toronto, Ontario, Canada 8 work roles 2 schools
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Current company
Role
Forward Deployed Machine Learning Engineer
Location
Toronto, Ontario, Canada
Company size

Who is Richard Yang? Overview

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Quick answer

Richard Yang is listed as Forward Deployed Machine Learning Engineer at Stratum AI, a company with 21 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Richard Yang.

Richard Yang previously worked as Junior Machine Learning Engineer at Boosted.Ai and Quantization Software Engineer at Untether Ai. Richard Yang holds Bachelor Of Applied Science - Basc, Software Engineering Specializing In Machine Intelligence, Cgpa 3.6/4.0 from University Of Toronto.

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Email format at Stratum AI

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Stratum AI

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Profile bio

About Richard Yang

Knowledgeable in machine learning at both a classical and modern deep learning level, with a strong foundation in Python and C++. Currently working to further my knowledge of deep learning and its practical applications in driving impacting products. Feel free to reach out if you wanna chat about ML or news in tech, always enjoy such conversations!

Current workplace

Richard Yang's current company

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Stratum AI
Stratum Ai
Forward Deployed Machine Learning Engineer
Toronto, ON, CA
Website
Employees
21
AeroLeads page
8 roles

Richard Yang work experience

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Forward Deployed Machine Learning Engineer

Toronto, ON, CA

Junior Machine Learning Engineer

Current

Toronto, Ontario, Canada

Jun 2023 - Present

Quantization Software Engineer

Toronto, Ontario, Canada

  • 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
Jan 2022 - Aug 2022

Placement And Routing Software Engineer

Toronto, Ontario, Canada

  • 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
May 2021 - Dec 2021

Control Systems Software Engineer

Toronto, Canada Area

  • 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.
Aug 2019 - Feb 2020

Biomedical Image Processing Intern

Toronto, Canada Area

  • 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.
May 2019 - Aug 2019

Pool Lifeguard

Ontario, Canada

  • 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
Jun 2018 - Aug 2018

High School Division Treasurer

Ontario, Canada

  • 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
Sep 2017 - Jun 2018
Team & coworkers

Colleagues at Stratum AI

Other employees you can reach at stratumai.ca. View company contacts for 21 employees →

2 education records

Richard Yang education

Bachelor Of Applied Science - Basc, Software Engineering Specializing In Machine Intelligence, Cgpa 3.6/4.0

Studied in one of Canada's most competitive and exciting engineering programs and took on a variety of breadth courses gaining insight.

Ontario Secondary School Diploma

John Fraser Secondary School
FAQ

Frequently asked questions about Richard Yang

Quick answers generated from the profile data available on this page.

What company does Richard Yang work for?

Richard Yang works for Stratum AI.

What is Richard Yang's role at Stratum AI?

Richard Yang is listed as Forward Deployed Machine Learning Engineer at Stratum AI.

Where is Richard Yang based?

Richard Yang is based in Toronto, Ontario, Canada while working with Stratum AI.

What companies has Richard Yang worked for?

Richard Yang has worked for Stratum Ai, Boosted.Ai, Untether Ai, University Of Toronto Hyperloop Team, and St. Michael'S Hospital.

Who are Richard Yang's colleagues at Stratum AI?

Richard Yang's colleagues at Stratum AI include Yush Hemkeshsing Rajcoomar, Muhammad L., and David First.

How can I contact Richard Yang?

You can use AeroLeads to view verified contact signals for Richard Yang at Stratum AI, including work email, phone, and LinkedIn data when available.

What schools did Richard Yang attend?

Richard Yang holds Bachelor Of Applied Science - Basc, Software Engineering Specializing In Machine Intelligence, Cgpa 3.6/4.0 from University Of Toronto.

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