Experience

Simulation Engineer

MOTOR Ai, Berlin
Aug 2024 - Current

Simulation Infrastructure & Toolchain Development
- Architected and optimized a scalable simulation pipeline by implementing custom modifications to the CARLA source code and Unreal Engine, enabling high-fidelity virtual validation.
- Developed automation frameworks to run multiple concurrent simulation instances, significantly increasing throughput for large-scale scenario execution and testing.
- Engineered C++ based ROS2 nodes for a comprehensive simulation framework, functioning as a high-fidelity Digital Twin for real-vehicle hardware.
- Managed the full lifecycle of simulation assets and framework changes using Git and Docker, ensuring robust version control and reproducible environments across the team.
Digital Twin & Environment Engineering
- Designed and implemented high-fidelity 3D vehicle models in Blender, including precise sensor mounting, calibration, and physics configuration for integration into CARLA.
- Developed accurate 3D environments by importing HD Maps with GNSS positioning, ensuring the simulation environment (ODD) accurately reflects real-world conditions.
- Built custom ROS2 interfaces to bridge the gap between the digital twin and the physical vehicle, enabling seamless Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) testing.
- Integrated realistic traffic agents (vehicles, cyclists, pedestrians) and data replay features to create complex, reactive perception scenarios.
Verification, Validation & Collaboration
- Designed scenario-based test catalogs based on formalized traffic rules and industry safety standards (ISO 26262/SOTIF), ensuring coverage of critical edge cases.
- Automated result evaluation to derive performance metrics and safety requirements from large-scale simulation runs.
- Collaborated cross-functionally with perception, planning, and control teams to translate high-level requirements into technical simulation solutions and toolsets.
- Contributed to internal documentation and coding standards to ensure simulation components remain reusable and scalable for the entire V&V department.

Research Assistant

Technische Hochschule Ingolstadt, Germany
Sep 2024 - May 2024

COHDA Embedded Device: Worked with the COHDA embedded software stack in C to optimize the deserialization of V2X messages.
V2X Software Stack (ETSI, ROS, C++): Developed and implemented a high-level C++-based V2X stack in ROS for communication between infrastructure and vehicles, including the use of FlatBuffers (serialization) on NVIDIA Orin.
Performance Optimization: Improved CPM communication efficiency by 10% through the implementation of the ETSI TS 103 324 standard and advanced C++ programming techniques.
Real-time Testing: Tested CAM, CPM, and DENM V2X messages on a sensor-based test field using prototype cars.
User Interface: Developed an OpenStreetMap-based GUI for visualizing detected objects.

Working Student

Fraunhofer IVI, Ingolstadt, Germany
Jan 2024 - July 2024

Object Detection and Tracking: Improved detection accuracy through extrinsic camera calibration with LIDAR.
NVIDIA Jetson AGX ORIN: Configured by flashing the V2X software stack and deployed on a test field.
Digital Twin: Implemented the test field in the CARLA simulator for data collection to train neural networks.

Master Thesis

Porsche Engineering Services Gmbh, Bietigheim-Bissingen, Germany
May 2023 - Nov 2023

Topic: Digital Twin: Development and Validation of an ADAS Function in Simulation - https://github.com/ronyshaji/Master-Thesis
Reversing Assist: Integration and enhancement of the ADAS function in the CARLA simulator using C++ and ROS.
Testing and Validation: Performed tests on a ROS-based prototype vehicle (Porsche Cayenne) using Python and C++.
Advanced ADAS Functionality: Validated with CARLA Scenario Runner using OpenDRIVE and OpenSCENARIO in Ubuntu WSL.
Software Development Methodology: Improved knowledge in Scrum and tools like Git, CMake, JIRA, and Confluence.

Intern

Magna Telemotive GmbH, Ingolstadt, Germany
Aug 2022 - Jan 2023

ADAS Virtual Simulation: Simulated a virtual camera sensor for ADAS testing in a parking lot scenario.
Unreal Engine: Created blueprints and integrated them into CARLA using C++.
Proof-of-Concept (POC): Developed a solution to select the best simulator for ADAS testing.

Development Engineer

Madras Rubber Factory (MRF) Tires Ltd, India
Apr 2017 - Mar 2021

Development Engineer: Collaborated with OEMs to demonstrate product quality and functionality.
Testing and Validation: Ensured compliance with industry standards and customer requirements.
OSHAS ISO 45001:2018: Member of the implementation committee, responsible for occupational health and safety standards.