Julian True

Machine Learning Engineer at Kindred
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Contact Information
us****@****om
(386) 825-5501
Location
CA

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Experience

    • United States
    • Automation Machinery Manufacturing
    • 100 - 200 Employee
    • Machine Learning Engineer
      • Aug 2021 - Present

      - Developed an ecosystem of tools to quantify product and sub-system level KPIs to drive systematic data-driven development processes. Resulted in a 50% increase in system throughput performance (Python, Go, BigQuery, S3). - Improved grasp recommendations by 15%, which directly improved the system throughput performance by 8% (Python, Go, C++). - Drove design and architecture of ML operations to streamline ML project lifecycle and embed best practices. - Fully automated placement KPI collection through reducing the misclassification rate of dark items by 96% (Python, Tensorflow, BigQuery). - Decreased operating cost by ~$120k/year through improving tele-operation success rate by 6% (Python, Go).

    • Canada
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jun 2019 - Feb 2021

      - Developed a real-time data pipeline which processed 100s of GBs of image and text data per day, per customer site. (Python, Kubernetes, Postgres, RabbitMQ). - Core contributor to the company's core technology offering, which enabled them to sell into the multi-billion dollar construction industry (Python, Tensorflow, Numpy). - Reduced GPU costs by 76% without trading off any KPIs. - Translated business objectives from the CEO into technical deliverables. - Developed a real-time data pipeline which processed 100s of GBs of image and text data per day, per customer site. (Python, Kubernetes, Postgres, RabbitMQ). - Core contributor to the company's core technology offering, which enabled them to sell into the multi-billion dollar construction industry (Python, Tensorflow, Numpy). - Reduced GPU costs by 76% without trading off any KPIs. - Translated business objectives from the CEO into technical deliverables.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Nov 2018 - Aug 2019

      - Developed an image recommendation system to suggest and later integrate advertisements into an Augmented Reality app. This work unlocked a new product vertical for the industry partner (Python, Tensorflow). - Provided mentorship and research guidance to junior lab members. - Published scoring metrics based on Mask RCNN, developed for the above recommendation system, at the 2019 IEEE BigMM conference. - Developed an image recommendation system to suggest and later integrate advertisements into an Augmented Reality app. This work unlocked a new product vertical for the industry partner (Python, Tensorflow). - Provided mentorship and research guidance to junior lab members. - Published scoring metrics based on Mask RCNN, developed for the above recommendation system, at the 2019 IEEE BigMM conference.

    • United States
    • Semiconductor Manufacturing
    • 700 & Above Employee
    • Radeon Graphics Platform Architecture Intern
      • May 2017 - Aug 2018

      - Represented AMD in Taipei at the Modern Standby certification event. Efforts resulted in successful certification of the company's core three product families which unlocked future growth in the California market (C++, hardware). - Saved the companies several millions in personnel, manufacturing, and time-to-market per project through designing and productionizing a high speed testing module for hot swapping display components (C++, hardware). - Represented AMD in Taipei at the Modern Standby certification event. Efforts resulted in successful certification of the company's core three product families which unlocked future growth in the California market (C++, hardware). - Saved the companies several millions in personnel, manufacturing, and time-to-market per project through designing and productionizing a high speed testing module for hot swapping display components (C++, hardware).

Education

  • Ryerson University
    Master of Applied Science - MASc, Electrical and Computer Engineering
    2019 - 2021
  • Ryerson University
    Bachelor of Engineering (B.Eng.), Electrical Engineering
    2014 - 2019

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