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Assessing your cultural and operational fit
NetHackOdyssey
February 19, 2025 – September 12, 2025
Embarking on a quest to conquer NetHack with RL
View ProjectCommanderCero.github.io
February 21, 2024 – November 4, 2024
CommanderCero.github.io — GitHub repository
View ProjectTFTPlaystylesAnalysis
March 27, 2023 – April 11, 2023
TFTPlaystylesAnalysis — GitHub repository
View ProjectMortalRobots
March 6, 2023 – March 10, 2023
Evolving robots to fight each other - Project for the IGGI Module GameDevelopment 2
View ProjectAutoSubgoalMCTS_PTSP
April 15, 2021 – August 16, 2021
Implementation of an MCTS algorithm that uses Quality Diversity to search much deeper than traditional algorithms.
View ProjectStratega
October 9, 2020 – June 10, 2025
Documentation: https://stratega.readthedocs.io/en/latest/
View ProjectTreedepth-Pace-2020
May 28, 2020 – June 11, 2020
A solver for computing a treedepth decomposition. Created for the PACE-Challenge 2020.
View ProjectRL_Algorithms
January 27, 2020 – October 5, 2021
This repository contains many Reinforcement Learning algorithms that I've implemented over the years out of curiosity.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for AI, Reinforcement Learning, and game AI through numerous personal projects. This aligns well with a culture that values innovation, continuous learning, and deep technical exploration. However, the lack of professional experience or team-based projects makes it difficult to assess broader cultural fit aspects like collaboration style, adaptability, or mentorship potential. The projects are diverse in their application of AI/ML, but all are personal, limiting insight into collaborative work.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's experience is solely based on personal projects, with no information on team collaboration, communication in a professional setting, or work attitude.