Nemo ter Bogt
Download CV

Nemoter Bogt

AI and software engineer in Eindhoven. I train reinforcement-learning agents to plan flight paths, and write the software that gets them onto real drones.

See selected workRead my CV
Bellman sweeps
0
Residual
–
Route
Planning
Value under cursor
–
What am I looking at?

A grid world, solved live in your browser with value iteration. The orange ring is the goal and is worth 1. Every step away from it is discounted by γ = 0.97, so each dot’s size is how valuable that cell is.

Each Bellman sweep pushes value one cell further out. When the wave reaches the drone, it follows the greedy policy: always fly to the neighbour worth the most. The hatched blocks and this page’s text are walls. Click anywhere in the field to move the goal.Tap anywhere in the field to move the goal.

Profile

I’m an MSc student in Artificial Intelligence & Engineering Systems at Eindhoven University of Technology, and a computer-vision engineer at Drone Team Aero. My work sits where learning meets hardware: agents that plan in three dimensions, perception that runs on a companion computer, and the simulation stacks that let you test both before anything leaves the ground.

Before that I spent two and a half years shipping web products and automation in Python, PHP and TypeScript. I still care about that side of the craft: clear interfaces, dependable pipelines, and code the next person can read.

Based in
Eindhoven, NL
Studying
MSc AI & Engineering Systems, TU/e
Working on
Tag detection and ROS 2 at Drone Team Aero
Speaks
Dutch, English, German

Focus

The problems I spend most of my time on.

  • Reinforcement learning

    Custom Gymnasium environments, recurrent and maskable PPO, and reward design for 3D path planning and multi-agent task allocation.

  • Computer vision

    Fiducial tag detection with OpenCV, built to run on board a drone’s companion computer in real time.

  • UAV systems

    PX4 and ArduPilot over MAVLink, ROS 2 and Gazebo, containerised so a full flight stack starts with one command.

  • Software engineering

    Full-stack work in TypeScript, Vue, PHP and Python, and MCP servers that let language models use real tools.

Selected work

Research, team and personal projects from the last two years.

  1. 2025

    3D path planning with reinforcement learning

    BSc thesis, Utrecht University

    A custom training environment in which a quadcopter learns to reach goals through cluttered 3D space. Compared recurrent and maskable PPO, then validated the policies in Gazebo with ArduPilot over MAVLink.

    • Python
    • Stable Baselines3
    • Gazebo
    • ArduPilot
    • MAVLink

  2. 2026

    Multi-UAV task allocation for solar-plant inspection

    Team internship, TU/e

    A fleet of drones splits the reconnaissance of a photovoltaic plant between them. Agents were trained with maskable and recurrent PPO and evaluated in AirSim.

    • Python
    • PPO
    • AirSim
    • Multi-agent RL

  3. 2026

    Onboard tag detection and a one-command flight stack

    Drone Team Aero

    OpenCV tag detection for autonomous missions, plus a Docker setup that brings up PX4 SITL, Gazebo and MAVLink together, so every team member tests against the same simulator.

    • OpenCV
    • Docker
    • PX4
    • ROS 2

  4. 2024 – now

    Custom quadcopters

    Personal project

    Several airframe iterations designed in Fusion 360, 3D-printed and assembled at home. The current 10-inch platform flies stably and carries a companion computer for onboard autonomy.

    • Fusion 360
    • ArduPilot
    • PX4
    • Additive manufacturing

  5. 2025 – 2026

    MCP servers for internal tooling

    CleverMobi

    Model Context Protocol servers that give language models structured, permissioned access to company data and actions, alongside full-stack product work.

    • TypeScript
    • PHP
    • MongoDB
    • MCP

Curriculum vitae

Nemo ter Bogt, AI and software engineer. Updated September 2026.

Download PDF

Experience

  1. Mar 2026 – Present

    UAV and computer-vision engineer

    Drone Team Aero, Eindhoven

    • Tag detection with OpenCV
    • Containerised the PX4 SITL, Gazebo and MAVLink stack with Docker
    • Maintain the team’s ROS 2 network

  2. Nov 2025 – Apr 2026

    Full-stack developer

    CleverMobi, Eindhoven

    • Backend development in PHP with MongoDB and MySQL
    • Frontend development in TypeScript and Vue.js
    • MCP server design

  3. Jun 2023 – Dec 2025

    Web and automation developer

    VMNmedia, Zeist

    • Web design with WordPress
    • Process automation with Python scripts
    • Data scraping

  4. Feb 2015 – May 2023

    Other work

    Hospitality and sport

    • Hospitality industry, 4 years
    • Snowboard and ski instructor, 4 months

Education

  1. 2025 – 2027

    MSc Artificial Intelligence & Engineering Systems

    Eindhoven University of TechnologyGPA 8.2

    • Team internship: multi-UAV task allocation for photovoltaic plant reconnaissance using reinforcement learning (maskable and recurrent PPO, AirSim)

    Coursework: ROS 2, Systems & control, Physics, Deep learning

  2. 2022 – 2025

    BSc Artificial Intelligence

    Utrecht UniversityGPA 7.4

    • Thesis: 3D path planning with reinforcement learning. Designed a custom training environment; recurrent and maskable PPO; Gazebo, ArduPilot and MAVLink

    Coursework: Machine learning, Calculus, Programming, Logic, Research, Writing, Presenting

Contact

Open to internships, thesis collaborations and engineering roles in machine learning, robotics and UAVs. Email is the fastest way to reach me.