Edmond Wen

Machine Learning Engineer Intern at Deep 6 AI
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Contact Information
us****@****om
(386) 825-5501
Location
Temple City, California, United States, US

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer Intern
      • Jun 2023 - Present

      Improving the search capabilities of clinical trial patient search tool using NLP, machine learning, and software engineering Improving the search capabilities of clinical trial patient search tool using NLP, machine learning, and software engineering

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Software Developer
      • Mar 2021 - Present

      • Constructing a parsing algorithm using ANTLR, Python, and bash scripting to automate medical reconciliation for hundreds of electronic medical records (EMR) by extracting key information (medication, dosage, forms) • Developing a tool that receives patient data from different EMR systems (Epic Systems, PointClickCare) and flags discrepancies, thus minimizing human errors and speeding up reconciliation (approx. 93% extraction accuracy) • Awarded a UCLA Transdisciplinary Research Acceleration Grant! Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • AI Projects Director
      • Mar 2022 - Mar 2023

    • Justice, Equity, Diversity, and Inclusion (JEDI) Director
      • Mar 2022 - Mar 2023

    • AI Projects Officer
      • Mar 2021 - Apr 2022

      • Constructed a CNN (Resnet) using PyTorch to classify diseases in cassava leaves, a staple food, based on labeled images collected by Uganda’s National Crops Resources Research Institute on Kaggle (approx. 70% accuracy)• Constructed a CNN (Resnet, Triplet Loss) using PyTorch to perform ”face” recognition on hundreds of humpback whales to aid conservation and tracking efforts (approx. 70% accuracy)• Taught two nine week sessions for approximately 15 students per session on the project of their choice (of the ones above) in two hour sessions twice a week Show less

    • AI Intern
      • Sep 2020 - Mar 2021

    • Semiconductor Manufacturing
    • 700 & Above Employee
    • Computer Vision and Image Processing Intern
      • Jun 2022 - Sep 2022

      ∙ Developing a mobile app platform to execute LAMP test reactions, visually measure results, and create results plots in real time using React-Native and Expo Go ∙ Wrote an algorithm in Matlab to automatically detect locations of reaction wells and draw bounding boxes on images of a LAMP test chip using pixel masks and k-means clustering ∙ Developing a mobile app platform to execute LAMP test reactions, visually measure results, and create results plots in real time using React-Native and Expo Go ∙ Wrote an algorithm in Matlab to automatically detect locations of reaction wells and draw bounding boxes on images of a LAMP test chip using pixel masks and k-means clustering

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Development Intern
      • Jan 2022 - May 2022

      ∙ Automated hundreds of quality control tests using batch scripts for NX Cad's JT Inspector tool, reducing 30 minutes of manual engineer time into a simple command line tool ∙ Worked on third party library integration for NX's C++ source code to improve security and efficiency ∙ Automated hundreds of quality control tests using batch scripts for NX Cad's JT Inspector tool, reducing 30 minutes of manual engineer time into a simple command line tool ∙ Worked on third party library integration for NX's C++ source code to improve security and efficiency

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Tutor
      • Jun 2021 - Jul 2021

      • Taught 20 students introductory programming skills in Python (variables, functions, loops, conditionals, recursion) during daily three hour long discussion sections for three weeks • Created presentations, worksheets, and review materials for students • Graded exams and assignments with Python test scripts • Taught 20 students introductory programming skills in Python (variables, functions, loops, conditionals, recursion) during daily three hour long discussion sections for three weeks • Created presentations, worksheets, and review materials for students • Graded exams and assignments with Python test scripts

    • Engineering President
      • Jun 2019 - Jun 2020

      • Oversaw all engineering operations for over 50 members broken into 5 subdivisions: mechanical, electrical, computer-aided design (CAD), programming, and competition strategy. Facilitated workflow such that each subdivision’s progress could be integrated cohesively into one competition robot that met budgetary and competitive restrictions over the course of six weeks • Orchestrated the free of charge 2019 Titanium Robotics Summer Camp for roughly 40 San Marino High School and Huntington Middle School students by syncing curriculum between subdivisions and planning schedules, allowing every student to survey each robotics field Show less

Education

  • University of California, Los Angeles
    Bachelor's of Science, Computer Science
    2020 - 2024
  • San Marino High School
    High School Diploma
    2017 - 2020

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