Saipriya Shagam

Worked on mixed-signal IC testing and resource characterization using an Advantest T2K ATE platform. Developed and debugged C++ test functions, performed electrical measurements using oscilloscopes and digitizer data, and analyzed measurement results using Python, pandas and Matplotlib. Gained hands-on experience with ATE ,as well as basic hardware work and Altium Designer.

Worked on an embedded bicycle navigation prototype, focusing on dynamic map-tile loading and offline map visualization. Developed Python-based processing for simulated GPS data and OpenStreetMap data, and implemented visualization on an embedded display using Pygame.

Worked on hardware-software interfaces for UWB sensors using Raspberry Pi and nRF52840-based hardware. Worked with Embedded C/C++, SPI, I²C, UART and Zephyr-based firmware, and developed a 3D visualization for sensor data using OpenGL.

M.Sc. in Automotive Software Engineering with a focus on embedded systems, automotive software and hardware-software integration. Current thesis focuses on batch-enabled tiling of high-definition images for real-time inference on embedded GPUs using NVIDIA Jetson platforms, with emphasis on performance benchmarking and optimization.