- Automated revisions for a 500+ page LS manual by developing a Python script, saving 10+ hours weekly and reducing errors by 30%.- Designed and implemented a digital asset management system using Python and SQLite, improving file organization, version tracking, and retrieval efficiency, reducing search times by 50%.- Developed a machine learning-based traffic prediction system using Python, TensorFlow, and SQL.-Integrated real-time IoT data to achieve a 92% accuracy rate and visualized insights with an interactive Plotly dashboard, enhancing decision-making for managers.- Collaborated with cross-functional teams to ensure seamless integration of solutions, meeting project deadlines and adhering to organizational standards.

- Developing and integrating embedded software for the TALON-DX hardware within the SKA Single Pixel Feed Receiver System, supporting cutting-edge telescope operations.- Leveraging FPGA-embedded ARM processors to execute hardware test cases and validate performance, utilizing Linux for system integration and debugging.- Implementing a custom hardware abstraction layer (HAL) to optimize communication between embedded software and FPGA peripherals, achieving a 20% reduction in system latency.- Collaborating with cross-functional teams, including hardware engineers and system architects, to ensure seamless integration and compatibility across subsystems.- Conducting extensive performance testing and debugging using advanced tools like JTAG and logic analyzers, increasing system stability by 25%.- Contributing to the qualification and advancement of next-generation hardware for astronomy and scientific research.