Ethan Le

Incoming Hardware Intern @ HPE | Computer Science and Engineering @ UC Irvine

San Jose, California, United States

About

Hello! I am Ethan Le, a second-year student at UC Irvine, currently pursuing a degree in Computer Science and Engineering. I am interested in working in Hardware Engineering and, through various project experiences, have developed skills in hardware architecture, Verilog, system integration, and embedded design. I am also passionate about discovering how to optimize systems and how we can improve the technology we use in our current day. Feel free to connect with me through my email! 📧 [email protected]

Experience

  • Incoming Hardware Engineer Intern at Hewlett Packard Enterprise
    Apr 2026 - Present · 3 mos

  • FIRST (On-site)
    • Outreach Coordinator
      Sep 2021 - May 2024 · 2 yrs 9 mos

      - Led multiple beginner Java and Python workshops for the youth in the Evergreen community in San Jose; built the curriculum for both languages and taught several multiple-day workshops - Oversaw the development of a rookie team in Vietnam and helped form the team through mentorship and leading multiple workshops - Mentored 7 FLL teams

    • Team Lead Secretary
      Sep 2020 - May 2024 · 3 yrs 9 mos

      - Managed the documentation of engineering and programming processes and led the production of team notebooks and portfolios, which led our team to win the Think, Inspire, and multiple other awards - Worked as a liaison between Programming, Business, Mechanical, and Outreach leads to organize and cohesively display our team's development - Oversaw reports of team meetings of 20 members and kept subteams on track

    • Programming Member
      Sep 2020 - May 2024 · 3 yrs 9 mos

      - Developed movement controls for a robot using Java through state machines; controlled servos, motors with encoders, vision/inertial sensors, and controllers using Java and the FIRST SDK - Utilized Pure Pursuit and odometry sensors for field localization and path-following algorithms - Developed precise arm movement by implementing PID-F controllers with encoders - Implemented OpenCV (and previously TensorFlow) for on-field object detection and worked on training multiple object detection models