

Experienced electrical engineer with a proven track record of designing, developing, and implementing innovative solutions. Proficient in firmware development, hardware-software integration, and real-time operating systems. Skilled in optimizing system performance, ensuring functionality, and resolving complex technical challenges. Dedicated to delivering high-quality results while staying updated with the latest industry trends and advancements.
I am currently working on my FYP titled "AI on Edge-FPGA-Based Neural Network Inference.". Designing and optimizing FPGA hardware for real-time neural network inference at the edge . Developing Verilog modules to enhance inference speed. Utilized Python for model interfacing & pre- and post-processing. Conducting rigorous testing, identifying bottlenecks, and improving system efficiency.
Implemented using PIC18 Microcontroller And Programming in C Language
Implemented using Arduino UNO-R3 and C programming language using Arduino IDE
This project involves two robots, a Master Robot and a Slave Robot, both implemented using Arduino UNO-R3. The Master Robot uses two IR sensors for line detection, an Ultrasonic sensor for obstacle detection, and IR sensors for communication with the Slave Robot. The Slave Robot follows the commands of the Master Robot received through IR communication.