Abdulla Tajammul Pangarkar

Robotics and machine-learning engineer with an MSc in Robotics (Heriot-Watt University Dubai), an MBA in Data Science & Business Analytics and a B.E. in Instrumentation Engineering (CGPI 8.70). Built a complete ROS 2 autonomy stack — SLAM, path planning, navigation and an autonomous decision layer — validated in simulation at 68.6% lower mission time and 21/21 correct decisions; built and tested real embedded hardware (an Arduino temperature-controlled fan with PWM, interrupts, ADC and a live web dashboard); and, in a five-person team, trained a CNN on ECG images to about 93% test accuracy. De