- Developed and enhanced a Python-based decoder system for ADAS (Advanced Driver Assistance Systems), contributing to software improvements and ensuring efficient data decoding and processing.- Defined and implemented efficient C-based decoding functions for Vehicle Identification Data (VID), improving data accuracy and performance in automotive diagnostic systems.- Developed custom Python scripts for automation, improving testing coverage and reducing manual effort.- Improved the CI/CD pipeline using tools like GitHub Actions and Azure DevOps, reducing manual intervention and streamlining development workflows.- Collaborated with a cross-functional team on an end-to-end data transfer project, ensuring seamless communication from vehicle onboard systems to the cloud-based infrastructure.

- Developed an AI-driven NLP-based system using Python and PyTorch to reduce manual effort in testing ECUs of cars by translating natural language specifications into executable test cases.- Quickly adapted to the Hugging Face library to utilize pre-trained machine learning models including GPT-2 and GPT-J.- Leveraged Agile development methodologies, specifically Scrum, to manage project timelines and presented deliverables to industry partner, Stellantis (Fiat-Chrysler and PSA).- Developed comprehensive understanding of validation methodologies, including unit, integration, and acceptance testing, to aid in producing highly robust safety-critical products.

- Teaching assistant for software engineering course, focusing on software life cycle, design patterns, and implementation in Java, leading classes of 50+ students.- Assisted in the instruction and development of curriculum for software development process, software design strategies, and object-oriented programming principles.- Led collaborative code implementation projects and provided guidance on professional code delivery.

- Research and develop ARCore-powered android mobile application (Java) for indoor wayfinding and transit station navigation, considering accessibility options for 15% of the world’s population.- Assess, propose and implement optimal algorithms and supporting data structures to provide efficient and robust solutions, for example Dijkstra’s algorithm for calculating shortest paths. - Perform server-side testing (Postman), as well as Navigation Management testing to measure performance and quality of 4 location tracking options selected by state machine transitions.- Use UI/UX research to develop wireframes and Android XML files for implementing a user-oriented app experience, to aid navigation of 20+ pages.