Mian Abdullah Afzal

PROFESSIONAL PROFILE Driven Electrical Engineering student at NUST (SEECS) with a specialized focus on Embedded Systems and Industrial IoT . Currently serving as the Hardware Lead for an AI-integrated Smart Power Management System. Expert in prototyping with ATmega and Arduino platforms, circuit simulation, and power electronics. Proven ability to translate complex academic concepts into validated hardware solutions with high precision and reliability. EDUCATION Electrical Engineering SEECS , Islamabad (4) INTERNSHIP EXPERIENCE RIMMS under supervision of Dr Nosherwan Shoaib. 21-Jul-2025 - 21-Sep-2025 Implemented core modules of an IoT-based energy monitoring system at a preliminary level. Established wireless communication between ESP32 and ESP8266 over ~18 meters with reliable data transfer. Performed ADC/DAC operations (10-bit resolution) and basic voltage measurement using a bridge rectifier circuit. Verified experimental results using a regulated 5V supply and Arduino IDE serial monitoring. Gained basic exposure to Python programming and data analysis using NumPy and Pandas. Developed foundational understanding of IoT communication, sensor interfacing, and power measurement concepts. FINAL YEAR PROJECT Hardware Lead | AI-Based Smart Power Management System Architecture: Designing a central IoT hub using ESP32 for real-time monitoring of household and room-level consumption. Sensing & Precision: Integrating SCT-013 sensors with a 0.01A resolution and a PZEM-004T for high-accuracy utility-grade metering. Advanced Control: Engineering a 63A 2-Pole Contactor for main isolation and a multi-channel relay bank for individual room-line switching and load shedding. Safety Logic: Programming automated protection for over-voltage (>260V) and under-voltage (<160V) with a response latency of <50ms. AI Integration: Co-developing an offline TensorFlow Lite (LSTM) model for on-device bill forecasting and energy-saving recommendations. TECHNICAL EXPERTISE Embedded Systems: ESP32, ATmega16/328P, Arduino, Embedded C/C++, Real-Time Data Acquisition. Software & Simulation: MATLAB (Certified), OrCAD Lite, LT Spice, Proteus, AutoCAD. Power & Control: Energy Monitoring (PZEM-004T, SCT-013), Relay Logic, High-Current Contactors. Computer Languages: C, C++, Python (Basics)

Driven Electrical Engineering student at NUST (SEECS) with a specialized focus on Embedded Systems and Industrial IoT . Currently serving as the Hardware Lead for an AI-integrated Smart Power Management System. Expert in prototyping with ATmega and Arduino platforms, circuit simulation, and power electronics. Proven ability to translate complex academic concepts into validated hardware solutions with high precision and reliability.