David Kong

Education

University of Minnesota - Twin Cities Sep. 2019 – Dec. 2022
Minneapolis, MN
B.S. in Computer Science | GPA: 3.45

Work Experience

Graduate Research Assistant Jan. 2025 – July 2025
University of Minnesota, Bioproducts and Biosystems Engineering
Minneapolis, MN
  • Designed a remote sensing research project leveraging deep learning and drone imagery in agricultural fields to systematically calculate weed stress
  • Created and implemented a pipeline to utilize publicly available crop databases to produce robust image segmentation models for use on field images
  • Trained deep learning-based computer vision models in a high performance cluster environment, using transfer learning techniques
  • Performed literature review to determine effective and appropriate machine learning methods for successful inference on field data
Recycling Program Specialist Sep. 2022 – Aug. 2023, May 2024 – July 2025
University of Minnesota, Waste Recovery Services
Minneapolis, MN
  • Created a web-based application to internally track materials baling progress and inventory
  • Coordinated a team of students to assess and upgrade recycling infrastructure in all Twin Cities campus buildings
  • Collaborated with building and departmental administrators, custodial staff, and supervisors to identify and alleviate waste recovery issues
  • Performed and assisted in building waste sorts and analysis to gauge the effectiveness of changes in the program
  • Facilitated the orderly collection of recyclables from off-campus partners and game days at Huntington Bank Stadium
Software Practitioner / Field Technician May 2021 – Nov. 2021
Procellis Technology
Minneapolis, MN
  • Completed training for and successfully obtained Cisco DevNet Associate and IoT Specialist certifications (200-901 Cisco DEVASC and 300-915 Cisco DEVIOT)
  • Performed and developed a rotation for routine maintenance checks on deployed IoT device installations within large vehicle fleets across multiple locations
  • Used diagnostic tools to determine cause of equipment failures, and created work orders for repairs using an internal ticketing system
  • Ensured that device and circuit installations adhere to best practices and are of good quality

Skills

Scientific computing, data mining, machine learning, deep learning, remote sensing, IoT systems

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