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Software Engineer Robotics & Computer Vision
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Assessing your cultural and operational fit
relational-inductive-bias-in-vision-based-rl
December 10, 2021 – July 14, 2022
Code to reproduce the results of the paper Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control.
View Projectur10-controller
June 3, 2021 – June 5, 2021
An implementation of an adaptive controller for simultaneous trajectory following, gaze control, and collision avoidance with moving obstacles.
View Projectgymkit
May 6, 2017 – September 28, 2017
RL algorithms and environments for Deep Q-network agents and neuroevolution agents.
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in research-oriented and complex problem-solving domains, particularly in robotics and reinforcement learning. The diversity of technologies used (Python, C++, Java, R) suggests adaptability. However, the projects are all personal and lack explicit team collaboration or real-world impact descriptions, making it difficult to fully assess cultural fit in a professional team setting. The target role 'Data Scientist' aligns with the analytical and programming skills demonstrated, but the focus is heavily on RL/robotics rather than broader data science applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.