Collaborated on an internal proof-of-concept project for a self-driving miniature vehicle platform as AI Engineer, designing decision-making pipelines using LLMs via LM Studio and Ollama for reactive steering, obstacle recognition, and route optimization.
Explored real-time LLM integration for lane detection logic, bridging prompt engineering with sensor fusion-based decision-making.
Evaluated autonomous behavior using controlled track scenarios, contributing to the organization’s AI research roadmap.
Validated BMS system functionalities using winIDEA for debugging, CANoe for simulations and analysis, and vTest Studio for automated test scripts; performed unit, interface, and integration testing to ensure seamless subsystem communication and industry-standard reliability.
Oversaw software development lifecycle documentation and architecture for hybrid control platform projects; created and maintained SDD documentation with Enterprise Architect, facilitated cross-team coordination using Git, Jira, and Confluence, and conducted ISO 26262–aligned risk assessments and validation activities.
Led ADAS software integration testing: designed and implemented a self-parking system testing strategy, supervised a small testing team, developed and optimized automated HIL test cases with CANoe, Python, Trace32, and vTest Studio, and managed deliverables under tight timelines in compliance with ISO 26262.
Developed test specifications for complex ADAS function verifications based on software requirements and architecture; tested and validated software on ECUs using software and hardware tools.
Ensured continuous execution of automated test cases on HIL equipment and automated tests in vTest Studio using DOORS requirements; conducted ECU testing with Trace32 for radar and camera ADAS units.
Automated and performed manual testing for a telematics control unit interfacing with internet and satellite GPS; executed OTA and FOTA testing alongside regression and white box methodologies.
Streamlined testing processes with Linux terminal, Jenkins, Python, DOORS, and Ethernet connectivity for efficient operations.
Experienced System & Software Test Engineer with a strong background in embedded systems and automotive software development.
Skilled in designing and executing test strategies for safety-critical systems like ADAS and BMS, with hands-on expertise using tools such as CANoe, vTest Studio, and winIDEA.
Focused on applying AI technologies and LLM integration to enhance automation, decision-making, and real-time system behavior.
Developed prototypes that combine embedded workflows with intelligent agents, exploring how modern AI can improve testing efficiency and system responsiveness.
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