MSc. Cybernetics and Robotics. Developing robots for Equanostic AS. Interested in multi-agent robust reinforcement learning.
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Assessing your cultural and operational fit
zig-rgbapng
July 26, 2025 – October 11, 2025
Zig decoding of 8-bit-per-channel (32-bit-total) PNG images. Ignores anything that is not an IHDR or IDAT chunk.
View Projectbattlebuds
August 9, 2024 – November 9, 2025
Learning Zig and HID controller interface by making a game.
View Projectrobust_rl
January 19, 2024 – June 15, 2024
Master's Thesis on robust and high-precision RL policies
View Projecttdt4195
September 16, 2023 – November 21, 2023
Assignments in TDT4195 Visual Computing Fundamentals
View Projectrobodart_exploration
September 5, 2023 – December 17, 2023
Unstructured and unimportant repo for testing various things without consequences
View ProjecttoyRL
September 2, 2023 – September 4, 2023
Exploring reinforcement learning for robot manipulator dart throwing in a toy environment
View ProjectEE4675-Project
June 4, 2023 – July 11, 2023
Project in EE4675 Object Classification with Radar; Micro-Doppler Based Classification of Individuals from Gaits
View ProjectSC42100-Assignments
May 13, 2023 – July 11, 2023
Repository for all assignments in SC42100 Networked and Distributed Control Systems at TU Delft
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research-oriented and experimental work, particularly in robotics and machine learning. This suggests a fit for roles that value innovation and problem-solving. However, the projects are predominantly personal/academic, and there is no information on collaborative work or professional experience, making a comprehensive cultural fit assessment difficult. The breadth of technologies (Python, C++, Zig, Java, Matlab) indicates adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.