Software Engineer | C++, Python, ROS | ADAS & Autonomous Systems
Personal Portfolio Website | Resume

I am an Automotive Engineer with over five years of professional experience, including two years in agile software development, ADAS simulation, and embedded systems. I possess strong expertise in C++ software development, Linux development, and software integration and testing. Passionate about advancing innovation in autonomous systems, I focus on developing efficient and scalable software solutions for modern vehicle technologies.

• Snake Game (C++ Personal Project) - [GitHub]
  Developed a classic Snake game using OOP, multithreading, and dynamic memory management.

• Traffic Simulation using C++ Concurrency - [GitHub]
  Built a C++ traffic simulation with thread-safe traffic lights and concurrency mechanisms.

• Linux System Monitor (C++) - [GitHub]
  Created a real-time system monitoring tool to track CPU, memory, and processes.

• OpenStreetMap Path Finder (C++) - [GitHub]
  Implemented shortest path algorithms (A*) on OpenStreetMap data.

• YOLOv7 Object Detection (Deep Learning) - [GitHub]
  Designed an AI-based license plate detection system using YOLOv7.

• YouTube Video: Install CARLA Simulator on Windows - [Watch Here]

• Investigation of the Effect of Vehicle Color on LiDAR-Based Detection (Academic Project)
  Analyzed how vehicle color affects LiDAR reflectivity and detection accuracy.

• Simulation and Thermal Analysis of Air Cooling for Prismatic Lithium-Ion Battery Module (Academic Project)
  Simulated battery thermal performance under various cooling conditions using CFD analysis.

• Research Assistant - Technische Hochschule Ingolstadt

• Working Student - Fraunhofer IVI

• Master's Thesis - Porsche Engineering Services GmbH [GitHub]

• Internship - Magna Telemotive GmbH

• Student Assistant - CARISSMA Forschungszentrum, TH Ingolstadt

• Development Engineer - MRF Tyres India

• Programming Skills:

  • C++: ★★★★☆
  • Python: ★★★☆☆
  • MATLAB: ★★★☆☆
  • Simulink: ★★☆☆☆
  • ROS: ★★★☆☆

• Development Tools:

  • CI/CD - Jenkins
  • Linux
  • Git
  • Docker
  • JIRA
  • OpenDRIVE
  • OpenSCENARIO
  • Roadrunner

• Simulation Tools:

  • CARLA - Autonomous Driving Simulator
  • Unreal Engine
  • RoadRunner
  • Ansys

• Technical Proficiencies:

  • Embedded Systems
  • Machine Learning | Deep Learning | Sensor Fusion
  • Autonomous Driving | ADAS | HD Maps
  • Simulation | Software-in-the-Loop (SIL)
  • Data Analysis | CI/CD
  • V2X Communication
  • Sensor Fusion

• Soft Skills:

  • Problem Solving
  • Analytical Skills
  • Teamwork
  • Quick Learner
  • Communication

• C++ - Udacity
• Python Data Structures - Coursera
• Machine Learning with Python - Coursera
• Programming for Everybody - Coursera
• Using Python to Access Web Data - Coursera

I'm always open to new ideas, collaborations, and discussions on innovations in autonomous systems, vehicle safety, and electromobility.