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Mian Abdullah Afzal

NUST · 2026

mianabdullah.nust@gmail.com

Phone

03094137911

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GitHub

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Academic

Program

Electrical Engineering

CGPA

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Year

2026

Education

SEECS

Address

Pattoki , Pakistan

DOB

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Career

Current role

Hardware Lead for an AI-integrated Smart Power Management System

Target role

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Skills

Embedded Systems, Industrial IoT, ATmega, Arduino, Circuit Simulation, Power Electronics, ESP32, ESP8266, ADC/DAC, Python, NumPy, Pandas, Embedded C/C++, Real-Time Data Acquisition, MATLAB, OrCAD Lite, LT Spice, Proteus, AutoCAD, Energy Monitoring, Relay Logic, High-Current Contactors, C, TensorFlow Lite, LSTM

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Mian Abdullah Afzal
Cell: 03094137911 | Email: mianabdullah.nust@gmail.com
Address: STREET NO 8,SHADMAN COLONY,PATTOKI, KASUR , Pattoki , Pakistan
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)

AI enrichment

Mian Abdullah Afzal is an Electrical Engineering student at NUST specializing in Embedded Systems and Industrial IoT, currently serving as Hardware Lead for an AI-integrated Smart Power Management System. He possesses practical experience in prototyping with ESP32 and Arduino platforms, circuit simulation, and power electronics.

Skills (AI)

["Embedded Systems", "ESP32", "Arduino", "C/C++", "Python", "Power Electronics", "IoT", "MATLAB", "LT Spice", "Proteus", "TensorFlow Lite", "Circuit Simulation"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 64
Created: 1778168427