Timo Friedl

// Software, Robotics & Data Analysis

Smarter Data. Better Software. Tailored to You.

  • Unlock greater value from your data with actionable insights.
  • Streamline data workflows through automated processing pipelines.
  • With custom desktop applications, we optimize your workflows and create tailored solutions for your needs.

Let's talk about your project:

Photo of Timo Friedl

About Me

Hi! I'm Timo, a robotics and software engineer from Munich. My passion is developing intelligent systems and automating complex processes.

I hold a Master of Science (TUM) in Robotics, Cognition, Intelligence, and have strong knowledge in software development and data analysis. I enjoy solving complex problems and developing efficient, practical solutions.

As a software developer and data analyst, I have worked on a variety of projects. These include IT solutions in the financial sector, the development of backend systems, and the automation of data workflows. My goal is to develop systems with tangible value that solve your challenges and save you time and money.

Tech-Stack

  • Programming Languages

    • Java (Swing, Spring, Maven, JUnit)
    • Python (NumPy, Pandas, Matplotlib, Scikit)
    • C++ (CMake, GoogleTest, Eigen)
    • SQL, C, Haskell
    • Bash, Powershell

  • Data Analysis & ML

    • PyTorch, Pandas, Tensorflow
    • LLM Dataset Evaluation
    • Automated Data Processing
    • Database Migrations
    • Efficient Data Matching
    • Data Analysis

  • Robotics & AI

    • Reinforcement Learning
    • Computer Vision & Camera Fusion
    • Control Theory
    • Autoencoders
    • Path Planning
    • Obstacle Avoidance

  • Tools & Frameworks

    • Git, GitHub Actions
    • Jira, Confluence
    • JetBrains IDE, Eclipse
    • Docker

  • Languages

    • German (Native)
    • English (C1)
    • French (B1)
    • Chinese (A2)

Projects

A selection of public projects I've worked on. More details can be found on my GitHub profile or discussed upon request.

Real-Time Particle Simulation

JavaSimulationPhysicsReal-timeInteractive

A real-time interactive particle physics simulation. Features particle placement, connections, gravity control, and collision physics for educational and experimental purposes.

View on GitHub

AI Population with Genetic Algorithm

JavaAIGenetic AlgorithmBacteria SimulationEvolutionary Algorithm

A bacteria simulation implementing a genetic algorithm (Evolutionary AI). Features fitness-based selection that causes the population to learn how to find food and save energy.

View on GitHub

APF-HGG: Dynamic Obstacle Avoidance for a Robotic Arm

C++Reinforcement LearningRoboticsAPFHGGObstacle Avoidance

Dynamic obstacle avoidance using Artificial Potential Field (APF) in Reinforcement Learning. Combines Reinforcement Learning for global path planning with reactive collision avoidance using Artificial Potential Fields.

View on GitHub

Contact

Interested in collaborating, have a project in mind, or just want to connect?
Feel free to reach out!