Afnan Khan

PROFESSIONAL PROFILE Motivated electrical and computer engineering graduate with strong hands-on experience in embedded systems, IoT-based smart energy metering, and power system monitoring. Proficient in designing and implementing ESP32-based solutions integrating voltage and current sensing, power factor analysis, energy billing, and MQTT-based communication for real-time grid and load management. Experienced in applying data-driven and machine learning concepts to power demand analysis and peak-hour prediction for smart grid readiness. Demonstrates solid problem-solving skills, practical hardware–software integration expertise, and a strong interest in intelligent energy systems, automation, and scalable industrial solutions. Seeking opportunities to contribute to innovative engineering projects in energy or smart infrastructure domains. EDUCATION EE SEECS , Islamabad , 3.3 (2026) INTERNSHIP EXPERIENCE Pakistan Ordnance Factories (POF) 30-Jun-2025 - 23-Aug-2025 Completed a technical internship at Pakistan Ordnance Factories, gaining practical exposure to industrial electrical and electronic systems. Assisted in understanding power distribution, control systems, and instrumentation used in large-scale manufacturing environments. Observed preventive maintenance practices, safety standards, and quality control procedures, and developed insight into real-world engineering workflows, documentation, and compliance within a defense-grade industrial setup. FINAL YEAR PROJECT Smart Load Management for Optimally Improved Power Economy This project targeted to implement a smart energy meter incorporating smart load management system. Implementation includes design of adaptive cost functions from utility to encourage automated partial load shedding instead of full load shedding. The project focuses on developing a smart energy meter capable of real-time monitoring of consumer loads. Using current and voltage sensors, the system measures power consumption and communicates the data to a microcontroller (ESP32) for intelligent decision-making. Based on grid conditions to update cost functions in real time based on power supply priority routines, the smart meter will automatically adjust loads with optimal priority order as well as by selected tariff plan by consumer thereby keeping critical loads active. This ensures efficient utilization of available power, prevents complete blackouts, and supports demand-side management without relying of expensive and inefficient battery storage systems. The system also features a mobile application/dashboard for real-time monitoring and control of loads with or without local renewable energy generation. TECHNICAL EXPERTISE System Design & Engineering Skills Hardware–software integration Modular firmware design and testing Problem analysis, debugging, and optimization

Motivated electrical and computer engineering graduate with strong hands-on experience in embedded systems, IoT-based smart energy metering, and power system monitoring. Proficient in designing and implementing ESP32-based solutions integrating voltage and current sensing, power factor analysis, energy billing, and MQTT-based communication for real-time grid and load management. Experienced in applying data-driven and machine learning concepts to power demand analysis and peak-hour prediction for smart grid readiness. Demonstrates solid problem-solving skills, practical hardware–software integration expertise, and a strong interest in intelligent energy systems, automation, and scalable industrial solutions. Seeking opportunities to contribute to innovative engineering projects in energy or smart infrastructure domains.