π My Journey
Welcome to my journey. This page offers insights into my story and the adventures that have led me to where I am today.
Feel free to navigate through the timeline to discover more about my educational pursuits, career endeavors, and the valuable lessons Iβve gained along the way.
Letβs embark on this journey together! π
πΌ Experience :
Research Project: Dexterous Imitation Learning for Vision-Action Models
Company: Fraunhofer Institute IPA
Time: July. 2025 β Present
Description:
Department: Automation Planning Focus on robotic hands for complex assembly processes in industrial applications. Topic: Imitation Learning of Human Grasping Tasks with a Dexterous Robotic Arm for Industrial Applications
Skills:
Imitation Learning, Diffusion Models, PyTorch, Teleoperation, ROS2, Python, Computer Vision
Research Assistant
Company: Fraunhofer Institute IPA
Time: Jan. 2025 β July. 2025
Description:
Department: Automation Planning Focus on robotic hands for complex assembly processes in industrial applications. - Object pose estimation using a multi-camera setup - Object tracking using segmentation models - Development of algorithms for detecting occlusion or loss of the object - Integration of the algorithms into ROS2 - Performance optimization using TensorRT and C++ - Comparison of pose accuracy with a real component by setting up a measurement scenario Results: Made the recognition of the existing model more robust and accelerated it by 10x so that it can be used in real industry scenarios.
Skills:
PyTorch, Segmentation, ROS2, Python, Computer Vision, TensorRT, Docker
Bachelor Thesis: AI and Large Language Models
Company: SCHUNK β Hand in Hand for Tomorrow
Time: Mar. 2024 β Sept. 2024
Description:
Department: Digital Office, IPAI Evaluation and implementation of a retrieval-augmented generation (RAG) approach for product data search using generative AI. Internal hackathon: Robotic bin picking using LLMs and few-shot detection.
Skills:
Python, LangChain, Vector DBs, ChatGPT, PyTorch, Docker, Linux
Software Engineer (Working Student)
Company: IDS Imaging Development Systems GmbH
Time: Sept. 2023 β Mar. 2024
Description:
Department: New Technologies Worked on IDS lighthouse, a cloud-based AI vision studio: - Integrated autolabelling service - Dockerized all services for dev & deployment - Evaluated and integrated SOTA detection models
Skills:
Python, Docker, Git, TensorFlow, Computer Vision, Segmentierung
Intern β New Technologies
Company: IDS Imaging Development Systems GmbH
Time: Mar. 2023 β Sept. 2023
Description:
Department: New Technologies - Created REST interface examples for NXT cameras - Built dashboard for monitoring IDS lighthouse performance - Trained YOLOv8 model and developed auto-labeling service - Internal hackathon: ML canteen occupancy tracking
Skills:
C/C++, Python, TypeScript, React, PyTorch, Docker, REST, TensorFlow
Test Engineer (Working Student)
Company: Bosch
Time: Mar. 2022 β Feb. 2023
Description:
Department: Chassis Systems Control Worked on engineering, testing, and development of hydraulic systems.
Skills:
Engineering, Testing, R&D
Student Assistant
Company: Heilbronn University β Center for Industrial AI
Time: Jun. 2022 β Dec. 2022
Description:
Assisted in hardware prototyping and embedded projects: - Arduino and Raspberry Pi development - Coded in C, C++, Python - Co-developed the 'Wasserdrucker' UI with wireless features Presented at the KI Festival in Heilbronn
Skills:
C, C++, Python, Arduino, Raspberry Pi
π Education :
Master of Science β Autonomous Systems
Institution: University of Stuttgart
Time: Sept. 2024 β Aug. 2026
Description:
- In-depth literature review on the use of generative AI in large-scale codebases. - Research project: Imitation Learning of Human Grasping Tasks with a Dexterous Robotic Arm for Industrial Applications at Fraunhofer IPA
Skills:
Computer Vision, Robotics, Deep Learning, Reinforcement Learning, Artificial Intelligence, LLM
Bachelor of Engineering β Mechatronics and Robotics
Institution: Heilbronn University
Time: Nov. 2020 β Aug. 2024
Description:
Bachelor's thesis GPA: 4.0/4.0 Topic: Retrieval-augmented generation (RAG) for product data search with generative AI Seminar: Time series prediction of chaotic double pendulum using neural networks Projects: - Traffic sign recognition with CNN - Chatbot using LSTMs
Skills:
TensorFlow, Machine Learning, Python, Fusion 360, C++, PyTorch, Git, Time Series Analysis, Image Processing, Robotics, MATLAB, CATIA