CV
Education
- M.S. in Machine Learning, University of Tübingen, 2026 (expected)
- M.S. in Computer Science, Politecnico di Milano, 2025 (Erasmus Exchange, February 2025 - August 2025)
- B.S. in Computer Science, University of Freiburg, 2023 (October 2019 - September 2023)
- Aeronautics and Space Engineering, University of Stuttgart, 2019 (October 2018 - September 2019)
Work Experience
- October 2025 - March 2026: Student Assistant
- University of Tübingen, Autonomous Learning Group
- Supervisor: Prof. Georg Martius, Jens Beißwenger, Anna Manasyan
- Duties included: Working with humanoid robots, development of VLA (Vision-Language-Action) models applied to humanoid robotics
- August 2024 - February 2025: Student Assistant
- BG Clinic - Tübingen, Hand, plastic, reconstructive and burn surgery
- Supervisor: Dr. Cosima Prahm, Dr. Dominik Steiner, Daniel Höglinger
- Duties included: Developing software interfaces, implementing deep learning pipeline for EMG to pose data, implementing convolutional, recurrent, and transformer architectures for time series data, making Nina-Pro dataset accessible through PyTorch
- July 2024 - February 2025: Freelancer
- Volatilis, Ludwigsburg, Germany
- Duties included: Implementing a browser-based simulation engine for risk modeling, business and operational development
- December 2023 - May 2024: Student Assistant
- AI-Center Tübingen, Central Office
- Duties included: Writing a wiki containing organizational aspects for international PhD students and post-doctoral researchers, performing and analyzing a department-wide survey on experiences of international researchers
- April 2023 - August 2023: Intern
- Fraunhofer Italia, Advanced Robotics Group, Bolzano, Italy
- Supervisor: Dr. Andrea Guisti, Dr. Marco Todescato
- Duties included: Building vision-guided imitation learning pipeline for modular robot manipulator, implementation of computer vision pipeline for 3D hand trajectory tracking, object recognition and segmentation with multi-stereo camera feed, re-implementation of Task-Parameterized-Gaussian Mixture model for imitation learning, development of Modular-Robot optimization pipeline, web-based interface design for containerized pipeline setup
- Technologies used: Python, Numpy, OpenCV, ROS2, C++, Moveit, Eigen
- July 2022 - April 2023: Student Assistant
- Institute of Intelligent Machine-Brain Interfacing Technology (IMBIT), Neurorobotics Group, University of Freiburg
- Supervisor: Prof. Joschka Boedecker, Jasper Hoffmann
- Duties included: Maintenance and mechanical work for Unitree A1 robot, interface documentation for custom quadrupedal policy deployment, literature review in reinforcement learning and control theory
- June 2021 - March 2023: Student Assistant
- Fraunhofer Institute for Physical Measurement Technology (IPM), Object and Shape Detection Department
- Supervisor: Prof. Alexander Reiterer, Dr. Philipp von Olshausen, Dr. Annette Schmitt
- Duties included: Development of multilabel image classification pipeline with convolutional neural networks, conducted hyperparameter optimization study on fine-tuning of CNNs, collection of 3D point cloud data of urban habitation
- March 2020 - May 2021: Student Assistant
- University Clinic Freiburg im Breisgau, Institute of Medical Bioinformatics and System Biology (IBSM)
- Supervisor: Prof. Melanie Börries, Dr. Patrick Metzger, Maria Hess
- Duties included: Developing a database application for molecular cancer research, conducting technical feasibility study involving relational and non-relational databases, implementing web interface for SQL database with Flask and SQLAlchemy, making application feasible for server-deployment in containerized fashion
Project Work
University Projects
- Field Robot Event (March 2025 - June 2025)
- Multi-Disciplinary Project at Politecnico di Milano
- Instructors: Prof. Matteo Matteucci, Dr. Simone Mentasti, Mirko Usuelli
- Built and programmed robot for agricultural-robotics competition in team of nine
- Implementation of navigation, computer-vision and decision making algorithms
- Conducted study on visual object tracking in moving stereo-camera setting with DeepSORT
- Tools: Python, ROS2, PyTorch, Yolo
- Multi-Agent RL in Lazer Hockey (December 2024 - February 2025)
- Course Project on “Reinforcement Learning” taught by Prof. Georg Martius
- Organized competition in lazer-hockey in multi-agent RL
- Extended SAC from stable-baselines3 with replay buffer
- Implemented and extended Deep-DynaQ with entropy regularization
- Contributed to development of lazer-hockey environment
- Generalized Simulation Based Inference (October 2024 - April 2025)
- Practical Machine Learning, ML-Lab project
- Supervisor: Prof. Jakob Macke, Julius Vetter
- Extended sampling strategies in simulation based inference with amortized cost estimation (paper by Dr. Richard Gao) with guided diffusion models
- Re-implemented GBI-ACE for benchmarking on toy and real world datasets
- Implementation using PyTorch framework
- LR-Scheduler Analysis (April 2024 - July 2024)
- Seminar Project: “Deep Learning Research Kitchen”
- Instructors: Prof. Philipp Hennig, Dr. Frank Schneider, Dr. Jonas Geiping, Dr. Antonio Orvieto
- Conducted study of multiple learning rate schedulers and their hyperparameters affecting training of Vision-Transformer model on CIFAR-10
- Implemented pipeline using PyTorch-Lightning, Tensorboard, Numpy and Matplotlib
- Precipitation Prediction Analysis (December 2023 - February 2024)
- Data Literacy Group Project by Prof. Philipp Hennig
- Supervisor: Emilia Magnani
- Data science project on climate data in group of four
- Analyzed accuracy of precipitation forecast of German weather agency against real data for Baden-Württemberg
- EASRL-LM-2D-IKB (July 2023 - September 2023)
- Bachelor Thesis at lab of Prof. Joschka Boedecker
- Supervisor: Jasper Hoffmann
- Topic: Expanding Action Space in Reinforcement Learning through Latent Models: A 2D Inverse Kinematics Benchmark
- Merged Soft-Actor-Critic with generative models such as pretrained Variational Autoencoder for noise augmentation and faster learning
- Implementation of custom inverse kinematics environment with scalable action space
- Learning Quadrupedal Locomotion From Scratch (April 2022 - September 2022)
- Bachelor research project with Felix Schulz at lab of Prof. Joschka Boedecker
- Supervisor: Jasper Hoffmann
- Implemented training pipeline for RL experiments around PPO concerned with perturbation and reward-shaping
- Minimalist re-implementation of Vision-Guided Quadrupedal Locomotion
- Used and extended existing physics-simulator based on PyBullet
- Libraries: Stable-Baselines 3, PyTorch, Gym, Weights-and-Biases, Tensorboard
- Conducted study on closing sim-to-real gap on Unitree A1 robot
- ALE Plots (May 2022 - September 2022)
- Seminar Project: “Fair and Interpretable Machine Learning”
- Instructor: Dr. Janek Thomas
- Re-implementation of Accumulated Local Effect plots
- Implementation using Python with Numpy and Matplotlib
- Humboldt Game (October 2020 - April 2021)
- Course project on “Practical Software Development”
- Organizers: Prof. Andreas Podelski, Dr. Vincent Langenfeld
- Supervisor: Antonia Hinkerohe
- Designed, implemented and tested real-time multi-agent strategy game “Humboldt”
- Collaborated in team of six using Git for version control
- Programmed in C# using XNA-(monogame)-framework
Private Projects
- Simplified RNNs Research Project (since April 2025)
- Based on GateL0rd paper by Dr. Christian Gumbusch
- Simplifying architecture and conducting study on latent state similarities
- SPARK Research Project (since April 2025)
- Built on idea of Bachelor’s Thesis
- Augmentation of stochastic policies for robust exploration and more expressive action distributions
- Extension of SAC to leverage non-diagonal Gaussian distributions for action sampling
- Benchmarking on 2D inverse kinematics environment using StableBaselines3
- Distributed RL on Optimal Transport (April 2025 - October 2025)
- Project at lab of Prof. Marcello Restelli
- Supervisor: Dr. Marco Mussi
- Redesign of rail environment from Flatland3 for multi-agent RL in asynchronous setting to solve train-scheduling problem
- Switch perspective from train-focused to switch-focused
- Tools: Python, Flatlands3, Gymnasium, PettingZoo
- Tide - Torch Integrated Data Engine (since February 2025)
- Data toolkit for handling sequential data for single or multi-file datasets
- Compatible with PyTorch dataset, data-loader integration, feature engineering, time-based splitting, filtering
- Integration into publicly available time series data: EMG, climate, finance, robotics
- Config2Class (since October 2024)
- Developed Python tool to automatically generate structured configuration classes from various file formats
- Adds support for code completion in IDE
- Integrates with Hydra and OmegaConf
- PyArgWriter (CLIfy) (since September 2023)
- Developed Python tool to automatically create command-line interface for Python projects based on OOP paradigm
- Implemented automatic code generation, code parsing tooling, tree-structured command generation, Hydra integration
- Hexapod Robot (since May 2021)
- Building custom Hexapod robot using Freenove Big-Hexapod robot kit, Jetson Nano B01, stereo vision, custom stationary power supply
- Implementing RViz2 and Gazebo simulation plugins, ROS2 architecture, low-level servo controller, high-level walking controller
- Designing custom proprioceptive sensing for closed-loop controller design for cheap-PWM sensors
- Conducted study on mobile neural-depth estimation for stereo-vision
Student Assistant Research Projects
- Humanoid VLA Research Project (since October 2025)
- Lab of Prof. Georg Martius
- Supervisors: Anna Manasyan, Jens Beißwenger
- Working on Vision-Language-Action models applied to humanoid robotics
- Hand Kinematics Estimation from EMG Data (August 2024 - February 2025)
- BG-Clinic project
- Supervisor: Daniel Höglinger at lab of Dr. Cosima Prahm
- Designed deep learning pipeline for hand kinematics estimation based on EMG data
- Pipeline design for non-computer science researcher
- Involved redesign of dataset acquisition and processing, network architecture setup, augmentation handling
- Pipeline based on PyTorch-Lightning
- Datasets: NinaPro, SEED, emg2pose
- PACT Deep Energy Retrofit (August 2022 - March 2023)
- Fraunhofer IPM project under Dr. Annette Schmitt
- Collected 3D data for point cloud segmentation with laser scanners
- Amphora Automated Pavement Operation (September 2021 - November 2022)
- Fraunhofer-IPM project under Prof. Alexander Reiterer with Dr. Annette Schmitt
- Implemented multilabel image classification pipeline on laser scan data with CNNs (ResNet & VGG) and Vision-Transformer
- Conducted classification-oriented real-time study with hyperparameter optimization (Bayesian Optimization + Hyperband)
- Implemented image processing pipeline: laser scanner → geojson
- Molecular Tumor Board Research Database (March 2020 - May 2021)
- IBSM team project under Prof. Melanie Börries
- Development of database application for molecular tumor research
- Conducted study on database design choices between SQL, document-based and graph-based database systems
- Knowledge acquisition from tissue collection to sequencing to annotation pipeline
- Collecting wet-lab experience and testing UI-design choices with research staff
- Organizer - Machine Learning Reading Club (February 2025 - June 2025)
- Organization of journal club for ML targeted at CS master students at Politecnico di Milano
- Within association: “Polimi Data Scientists”
- Tasks: selecting papers, organizing speakers, communicating to fellow students
- Organizational Staff - EWRL 18 (February 2025 - June 2025)
- European Workshop on Reinforcement Learning edition 18 at Tübingen
- Assisting at registration, discussions, demonstrations
Skills
- Programming Languages: Python, C, C++, C#
- Python Libraries:
- Deep Learning: PyTorch, PyTorch Lightning
- RL: Gymnasium, PettingZoo, Stable-Baselines3
- Data Science: NumPy, Pandas, SciKit-Learn
- Robotics: ROS, ROS2, Moveit
- Databases: SQL, NoSQL Database Systems
- Tools: Git, SVN, Docker, SLURM
- CAD: Mechanical CAD (Autodesk Inventor)
- Embedded Systems: Arduino, ESP
- Project Management: SCRUM
Personal Interests
- Archery (bronze medal at European Championships 2018)
- Running (mid to long distance)
- Road cycling
- Photography
