Karthik S

Performed comparative benchmarking of DSP and neural network functions across 32-bit ARM and RISC-V microcontrollers, analyzing cycle counts, instruction counts, execution time, stack usage and code size to quantify performance differences.

Evaluated and integrated RISC-V toolchains and open-source libraries, deployed TensorFlow Lite Micro on ARM Cortex-M4, and performed instruction-level profiling and headless firmware simulation to validate ISA-specific optimizations.

Designed panel layouts and electronic hardware systems for industrial automation projects, produced schematics and technical documentation, and performed hardware validation and debugging to improve system reliability.

Designed and debugged embedded circuits and verified sensor, power and driver boards; implemented communication interfaces and used logic analyzers and oscilloscopes for validation to ensure robust functionality.

Activities and societies: Research projects on sensor measurement and RS232 interfacing; benchmarking DSP/NN on ARM and RISC-V; tools: C, Python, Assembly, TensorFlow Lite Micro.

Master of Science in Embedded Systems focusing on smart sensor systems, digital system design, and digital components and architecture; thesis on comparative analysis of DSP and neural network functions on ARM and RISC-V microcontrollers.

Activities and societies: Multiple embedded and IoT projects including vehicle safety systems, RFID library management, smart irrigation, and image-processing prototypes.

Bachelor's degree in Electrical and Electronics Engineering with focus on microprocessors, microcontrollers, electronic devices, and analog/digital integrated circuits; completed thesis on driver safety and bus pass tracking using image processing.