Gijs Landwehr bio photo

Gijs Landwehr

Apprentice Teacher at Austin HS



dog petting expert


The University of Texas at Austin, Austin, TX / May 2021
B.S.A in Computer Science with Teaching Certification

  • Content Courses: Data Structures, Computer Architecture, Operating Systems, Compilers, Algorithms, Cryptography, Object Oriented Programming, Software Engineering, Programming Languages
  • Education Courses: Knowing and Learning, Classroom Interactions, Project Based Instruction, Research Methods

Teaching Experience

UTeach, Austin, TX / January 2018 - present
Preservice Teacher

FIRST Robotics Team 418 LASA Robotics, Austin, TX / November 2015 - February 2019
Technical Mentor

  • Teach high school students about engineering design principles, manufacturing, programming, and control theory to design, build, and program a large competition robot in 45 days.
  • Introduce young software engineers to version control, test driven development, and team programming by working alongside them to program complex and repeatable autonomous operation.

Industry Experience

UnaliWear, Austin, TX / March 2017 – November 2017
Engineering Intern

  • Developed a wrist accelerometer fall detection algorithm in C++ to trigger an automatic call for medical assistance.
  • Wrote graphing tools in python to quickly analyze large amounts of accelerometer data from the watch to evaluate effectiveness of changes to the fall detection algorithm.
  • Assisted development of a lightweight unit testing system to quickly run tests on emulated watch hardware.
  • Created reports of device resets and false voice command triggers from UX test watches in the field.

Altera (Now Part of Intel), Austin, TX / June 2016 – August 2016
Embedded Software Intern

  • Characterized boot time of Cyclone V FPGA System on Chip with various settings and boot sources.
  • Implemented a faster CRC32 algorithm in C to significantly reduce bootloader times with large FPGA images.
  • Found and fixed errors in the documentation for the bootloader software.

Programming Projects

Longhorn Racing Electric, Austin, TX / November 2015 - present

  • Write embedded C code for Texas Instruments and ST Microelectronics processors
  • Developed a code generator in Python to convert CAN message specification files written in YAML to C code
  • Implemented an O(n) algorithm to find vehicle braking points in a Python lap simulator to improve performance and enable the team to use the simulator for high level design decisions.


Programming Languages: Python, Java, C, C++, Scratch
Spoken Languages: Native Dutch speaker, fluent in English, intermediate Spanish