AUTONOMOUS
ENGINEERING
& DESIGN
SENSOR FUSION — DEEP LEARNING — ADAS TESTING — MACHINE LEARNING — POWERTRAIN —
SENSOR FUSION — DEEP LEARNING — ADAS TESTING — MACHINE LEARNING — POWERTRAIN —
THE ARCHITECTURE OF MOTION.
I am currently pursuing my M.Eng at Technische Hochschule Ingolstadt and completing my Master Thesis at Harman International. My work lives at the exact intersection of hardware and intelligence.
From designing high-voltage powertrain systems for Formula Student to conducting battery abuse tests on BMW i4 cells, and building robust LiDAR/Radar pipelines for L2+ ADAS functionalities.
01 / Core Expertise
01
Sensor Fusion
Integration and mathematical alignment of LiDAR, RADAR, and Camera data for robust VRU detection.
02
ADAS Testing
System-level L2+ feature validation using CANoe, CANape, and detailed HIL/SIL data preparation.
03
Powertrain
Mechanical design, GD&T, and FEA simulation for high-voltage battery modules and race gearboxes.
04
Deep Learning
Python, PyTorch, and OpenCV driven model development for object tracking and trajectory prediction.
02 / Select Experience
| 2025 — PRES |
Working Student ADAS
Harman International / Garching, DE
Managed test configurations for CAN/FlexRay ECU communication. Conducted log analysis and developed tool automation scripts for L2+ feature validation.
|
| 2023 — PRES |
Research Assistant
Carissma THI / Ingolstadt, DE
Designed custom mechanical test rigs for battery nail penetration on BMW i4 G26 cells. Engineered MATLAB optimisation functions improving evaluation efficiency by 20%.
|
| 2023 — 2024 |
Team Lead Powertrain
Schanzer Racing Electric / Ingolstadt, DE
Led design of a lightweight gearbox system yielding +15% torque. Conducted rigorous GD&T stack-ups and validated high-voltage connectors via SolidWorks.
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