PROFILE SUMMARY

Hassan Ali is an interdisciplinary technologist and lab instructor working within the Artificial Intelligence department, with a strong focus on connecting foundational engineering concepts to modern AI driven technologies. With over 2.5 years of academic teaching experience and 1 year of industrial experience, he specializes in bridging the gap between electronics, embedded systems, robotics, and practical AI applications.

Trained in electronics and embedded systems, he has developed expertise in microcontrollers, sensors, automation, machine-interfacing, and real-time hardware systems skills essential for applied artificial intelligence, especially in areas such as intelligent robotics, IoT-based AI systems, and data driven automation. His academic role involves teaching and conducting labs in applied physics, digital logic design, microprocessing, Arduino/ESP32 programming, and embedded hardware fundamentals, ensuring students gain the strong technical foundation required for advanced AI coursework.

His dual background industry and academia enables him to design learning experiences that integrate hardware with AI concepts, such as perception systems, sensor-based decision making, intelligent control, and embedded ML workflows. He actively contributes to curriculum planning, handson lab development, and project-based learning, helping students build practical AI enabled systems using real devices and sensors.

With experience in robotics and embedded systems projects, he continues to introduce students to the intersection of hardware engineering and artificial intelligence, preparing them for emerging industry needs in automation, smart devices, and intelligent systems.