
Electronics Engineer and AI Scholar | Integrating Embedded Systems with Machine Learning
Experienced in developing and instructing on embedded systems and robotics, with a proven track record of training 200+ students and delivering 20+ functional prototypes, including autonomous robots and IoT solutions. Currently advancing expertise in AI and machine learning through a degree in Computer Science & Engineering, with focused application in intelligent hardware systems.
Core technical proficiencies include Python, C++, machine learning fundamentals, sensor interfacing, and embedded development. Seeking an AI/ML or Embedded Software Engineering internship to apply cross-disciplinary skills in automation, robotics, or edge AI applications.
Open to connecting regarding innovative opportunities in these fields.