Professional Overview
I am an aspiring embedded systems engineer currently pursuing a master’s degree in electrical engineering. My goal is to work on cutting-edge technologies involving microcontrollers, FPGAs, and implementing AI in embedded systems, preferably in a remote capacity. I have hands-on experience with ARM microprocessors, PSoC, STM32, and Raspberry Pi, as well as a solid foundation in programming languages like C, Verilog, and VHDL. I enjoy troubleshooting hardware and software integrations and have a strong interest in machine learning for microcontrollers and TinyML. My background includes designing firmware for solar panel systems, building FIFO memory modules, and developing custom multithreading solutions on Linux.
Areas of Expertise
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
