Aditya Kharoshe
Robotics & AI Student
Munich
Summary
Recent graduate with foundational knowledge in Robotics and Artificial Intelligence and hands-on experience gained through academic projects and internships. Demonstrates strong teamwork, problem-solving, and time-management skills. Prepared to start career and make meaningful contributions with commitment and drive.
Overview
4
4
years of professional experience
4
4
Languages
4
4
years of post-secondary education
Work History
Bachelor Thesis
Fraunhofer ISC
11.2025 - 03.2026
- Title - "Comparative Analysis of Machine Learning vs LLM Based Optimization Algorithms for Experimental Materials Process Optimization"
- Designed and deployed two autonomous optimization systems: A classical ML-based surrogate model and an autonomous LLM-based agent interacting with a black-box evaluation function.
- Implemented closed loop experimental pipelines in both systems — iteratively proposing, evaluating, and refining process parameters under limited data budgets.
- Incorporated multimodal visual feedback by passing experimental images directly to a VLM, enabling image-guided optimization decisions alongside numerical process data.
- Designed evaluation frameworks and benchmarks to systematically analyze and compare model behavior, performance, and decision making strategies.
Robotics and Digital Transformation Intern
Fraunhofer ISC
09.2024 - 02.2025
- Designed and implemented a robotics software system integrating a Yaskawa robot and precision dispenser via OPC UA, MotoLogix, and CODESYS, enabling reliable automation workflows and reducing manual intervention by 40%.
- Developed a Python-based G-code interpreter and transformation pipeline, cutting path-programming time by ~60% and enabling custom trajectories from images and vector files.
- Built and deployed a browser-based GUI to simplify robot and dispenser control, giving non-technical researchers an intuitive interface for experiment setup.
- Applied the system to print carbon electrode structures with sub-millimeter accuracy, increasing precision by 50% compared to manual methods and validating feasibility for sensor fabrication.
Student Tutor (Robot Mechanics)
THWS
04.2024 - 07.2024
- Provided individualized academic support in Robot Mechanics, helping students improve exam readiness and strengthening conceptual understanding.
- Built an interactive learning environment through guided problem-solving and Q&A sessions, increasing engagement and retention.
Intern
Bosch
06.2022 - 07.2022
- Monitored and analyzed the performance of Epson robot arms and AGVs, identifying deviations and contributing insights to improve workflow efficiency.
Education
Master of Science - Electrical Engineering & Information Technology
THWS
Schweinfurt, Germany 03.2026 - Current
Bachelor of Science - Robotics
THWS
Schweinfurt, Germany 10.2022 - 03.2026
Studienkolleg - Robotics
Rashtriya Vidyalaya College of Engineering (RVCE)
Bangalore, India 09.2021 - 04.2022
Skills
Python, PyTorch, LangChain, LLMs & Tool-Calling Agents, VLMs & Multimodal AI, Robot Kinematics & Control, Computer Vision, Machine Learning, C, MATLAB/Simulink, Reinforcement Learning, Robotics Simulation, ROS/ROS2, OPC UA, CODESYS, Git, Linux
Timeline
Master of Science - Electrical Engineering & Information Technology
THWS
03.2026 - Current
Bachelor Thesis
Fraunhofer ISC
11.2025 - 03.2026
Robotics and Digital Transformation Intern
Fraunhofer ISC
09.2024 - 02.2025
Student Tutor (Robot Mechanics)
THWS
04.2024 - 07.2024
Bachelor of Science - Robotics
THWS
10.2022 - 03.2026
Intern
Bosch
06.2022 - 07.2022
Studienkolleg - Robotics
Rashtriya Vidyalaya College of Engineering (RVCE)
09.2021 - 04.2022
Publications
Joardar, P., Grau, C.-D., Pinick, J., Reininger, J., Kharoshe, A., Raja, J. J., Daun, M. (2025). Perceived Potential of Humanoid Robots. 2025 9th International Conference on Computational System and Information Technologyfor Sustainable Solutions(CSITSS), pp. 1–6. doi:10.1109/CSITSS67709.2025.11295652 2