πŸš€ 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 I’ve gained along the way.

Let’s embark on this journey together! 🌟

πŸ’Ό Experience :

Research Project: Dexterous Imitation Learning for Vision-Action Models

Company: Fraunhofer Institute IPA

Time: July. 2025 – 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 – 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 – Hand in Hand for Tomorrow

Time: Mar. 2024 – 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 – 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 – New Technologies

Company: IDS Imaging Development Systems GmbH

Time: Mar. 2023 – 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 – 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 – Center for Industrial AI

Time: Jun. 2022 – 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

πŸŽ“ Education :

Master of Science – Autonomous Systems

Institution: University of Stuttgart

Time: Sept. 2024 – 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 – Mechatronics and Robotics

Institution: Heilbronn University

Time: Nov. 2020 – 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