Afnan Khan

Academic

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Afnan Khan
Cell: 03318804604 |  Email: afnankhan4179@gmail.com
LinkedIn: https://www.linkedin.com/in/afnan-khan-341983279/
Address: 20E/104 , Wah cantt , Pakistan
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

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