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Rabia Rani

NUST · 2026

rabp1960316@gmail.com

Phone

03117782679

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GitHub

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Academic

Program

BEE

CGPA

3.25

Year

2026

Education

SEECS

Address

Salemi Town, Near Eid Gha Masjid, Jalal Pur Jattan , Gujrat , Pakistan

DOB

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Career

Current role

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Target role

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Skills

Embedded Systems, IoT, Digital Communication, Microcontrollers, ESP32, Arduino, ATmega, UART, SPI, I²C, RF Signal Processing, SDR, LoRa, GNU Radio, PlutoSDR, Machine Learning, RF Fingerprinting, Deep Learning, Computer Architecture, Digital System Design, FPGA, MATLAB, Python, Verilog, Assembly, C, C++, PCB Design, Hardware Debugging

Verbatim text

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Rabia Rani
Cell: 03117782679 |  Email: rabp1960316@gmail.com
Address: Salemi Town, Near Eid Gha Masjid, Jalal Pur Jattan , Gujrat , Pakistan
PROFESSIONAL PROFILE
Electrical Engineering graduate from NUST with hands-on experience in embedded systems, IoT, and digital communication.
Skilled in developing and integrating hardware-software solutions using microcontrollers (ESP32, Arduino, ATmega)
and communication protocols (UART, SPI, I²C). Experienced in RF signal processing, SDR applications, and LoRa technology,
with strong expertise in GNU Radio and PlutoSDR. Proﬁcient in machine learning for IoT security applications, including RF
ﬁngerprinting using deep learning models. Strong foundation in computer architecture, digital system design, and FPGA-based
prototyping. Adept at problem-solving, hardware debugging, and end-to-end system development, with practical experience in
MATLAB, Python, Verilog, and industry-standard engineering tools.
EDUCATION
Bachelor of Electrical Engineering
School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.25 (2026)
INTERNSHIP EXPERIENCE
Smart Agri-Tech Lab, SINES, NUST
09-Jun-2025 - 31-Aug-2025
• Worked on GNU Radio for implementing and simulating digital communication systems. • Designed and tested signal processing
blocks for Software Deﬁned Radio (SDR) applications. • Utilized PlutoSDR for RF signal transmission and reception experiments. •
Investigated LoRa physical layer implementation and IQ sampling techniques.
EmbedAIOT
01-Jun-2024 - 31-Aug-2024
• Worked with ESP32 microcontroller, developing and testing embedded applications for IoT-based systems. • Integrated multiple
sensors and modules using communication protocols such as I2C, SPI, and UART. • Implemented basic PCB design, including
schematic creation and component placement. • Performed hardware debugging, testing, and system integration to ensure reliable
operation.
FINAL YEAR PROJECT
RF Fingerprinting for IoT Device Security Using Deep Learning
This project explores RF ﬁngerprinting as a hardware-intrinsic security solution for large-scale IoT systems. A deep learning–based
model is developed to classify and authenticate IoT devices using their unique radio-frequency characteristics, providing physical-
layer protection against device spoofing attacks.
TECHNICAL EXPERTISE
Programming Languages
Assembly, C, C++, Python, Verilog
Embedded Systems
• Hands-on experience with Arduino, ESP32, and ATmega microcontrollers. • Sensor and peripheral interfacing for real-time
embedded applications. • End-to-end embedded system development, from hardware to ﬁrmware. • Proﬁcient in communication
protocols: UART, SPI, and I²C. • IoT system design and int ...
Software & Engineering Tools

AI enrichment

Rabia Rani is a Bachelor of Electrical Engineering student at NUST with a 3.25 CGPA, specializing in embedded systems, IoT, and software-defined radio. She has internship experience with GNU Radio and ESP32 microcontrollers, along with a final year project focused on RF fingerprinting using deep learning.

Skills (AI)

["Embedded Systems", "IoT", "GNU Radio", "SDR", "LoRa", "Python", "C++", "Verilog", "ESP32", "Arduino", "MATLAB", "Deep Learning", "PCB Design", "Hardware Debugging"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 136
Created: 1778168427