About
As an ADAS Validation Engineer with over 2.8 years focused on LiDAR-based perception systems based on LiDAR, validation of ECUs, and testing of automotive software. have experience in AUTOSAR communication protocols, debugging automotive E/E systems, and handling CAN. frequently use Python to automate things, which greatly enhances testing speed. have experience with CI workflows while always following ISO 26262 functional safety guidelines In terms of system validation, prioritize developing intelligent strategies and seeking approaches to accelerate and enhance testing consistency using automation.
Skills & Expertise (15)
Work Experience
Software Engineer – ADAS QA & Validation
Tata Elxsi
Oct 2023 - Nov 2025
Led end-to-end validation of LiDAR-based ADAS perception systems, covering system, integration, and ECU testing across vehicle E/E architecture. Automated ADAS test scenarios using Python, PyTest, and Shell, improving regression coverage and reducing manual effort. Debugged vehicle communication and CI issues using CAN, Adaptive & Classic AUTOSAR, IPC, DLT, DTC analysis, with compliance to ISO 26262 & ASPICE.
Education
Bachelor of Engineering - DR D Y Patil Institute of Technology
- 2022 · Afghanistan
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Skills (15)
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