INITIALIZING ENVIRONMENT
SENSING DEPENDENCIES
BOOT SEQUENCE COMPLETE
LAT_DEV: 0.00m
VELOCITY: 0.0km/h
OBJ_TRACKED: 0
STATUS: NOMINAL
Proximity Alert Detected Safety intervention required.
Ingolstadt, DE — Automotive Systems Engineer

Where Mechanical Precision Meets Machine Intelligence..

M.Eng candidate at Technische Hochschule Ingolstadt (THI). Specializing in ADAS validation, Deep Learning for VRU tracking, and HV powertrain development.

Background

01

I am a systems-oriented engineer focused on making autonomous vehicles safer and more reliable. My expertise lies in the full development V-cycle: from training Deep Learning models for trajectory prediction at Harman to designing mechanical high-voltage enclosures for Formula Student racing.

I thrive in complex environments where hardware rigor meets intelligent software, ensuring that every sensor fusion algorithm and mechanical component adheres to the highest safety and performance standards.

Education

02
2023 — Present
M.Eng in Automotive Engineering
Technische Hochschule Ingolstadt (THI) / Germany
Specializing in autonomous systems and automotive electronics.
2019 — 2022
B.Eng in Mechanical Engineering
Mumbai, India
Foundation in thermal engineering, structural mechanics, and CAD/CAM. Graduated First Class with Distinction (Gold Medalist).

Experience

03
2025 — Present
Master Thesis — ADAS & Deep Learning
Harman International / Garching, DE
Developed a safety layer to enhance the reliability of end-to-end ADAS planning models for urban driving. Researched and implemented hybrid enforcement strategies (rule-based and AI) to maintain spatial safety bound- aries.
2025 — 2025
Working Student — ADAS Validation
Harman International / Garching, DE
Configured and maintained test setups for CAN, FlexRay, and Ethernet communications. Conducted log analysis for L2+ features and automated validation workflows using Python.
2023 — 2024
Research Assistant — HV Battery Testing
Carissma THI / Ingolstadt, DE
Designed mechanical abuse-testing rigs for BMW i4 battery cells. Optimized MATLAB scripts for automated data evaluation, improving evaluation efficiency by 20%.
2023 — 2024
Team Lead Powertrain
Schanzer Racing Electric / Ingolstadt, DE
Oversaw design of a lightweight gearbox and high-voltage battery enclosure. Managed GD&T compliance and validated critical components via SolidWorks FEA.

Technical Skills

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Software & AI
  • Python
  • PyTorch
  • MATLAB
  • OpenCV
  • C++
  • RAG
  • LangChain
  • Fine-tuning
ADAS & Testing
  • Vector CANoe
  • CANape
  • ROS
  • CAN / FlexRay
  • V-Cycle
Design & Simulation
  • SolidWorks
  • CATIA V5
  • Ansys (FEA)
  • GD&T
  • ISO 26262

Selected Projects

05