Detail-oriented M.S. candidate in Electrical and Computer Engineering with a B.S. in Computer Engineering. Skilled in developing STM32 sensor firmware, debugging interfaces, and integrating FPGA-based audio systems. Strong expertise in C/C++, Python, Verilog, and embedded hardware, complemented by a solid foundation in machine learning and signal processing.
Relevant Coursework: Embedded Systems, Signal Processing, AI/ML for semiconductor industry, Data Structures and Algorithms