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Haﬁza Adeela Arif

NUST · 2026

adeelaarif525@gmail.com

Phone

923118131525

https://www.linkedin.com/in/adeela-arif/

GitHub

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Academic

Program

BEE

CGPA

3.39

Year

2026

Education

SEECS

Address

Lahore, Pakistan

DOB

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Career

Current role

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Target role

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Skills

NLP, transformer-based LLM/SLM architectures, model efficiency, scalability, deployment trade-offs, model compression, quantization, pruning, knowledge distillation, on-device inference, YOLOv8, image dataset preparation, augmentation techniques, real-time detection, Labelme, scikit-learn, pandas, NumPy, TensorFlow/Keras, OpenCV, scipy, ModelSim, Proteus, LTspice, MATLAB/Simulink, LabView, Pspice, Python, C/C++, C#, Assembly Language, communication systems, signal processing, machine learning, 6G networks, physical layer security, HAPS

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.

Haﬁza Adeela Arif
Cell: 923118131525 | Email: adeelaarif525@gmail.com
LinkedIn: https://www.linkedin.com/in/adeela-arif/
Address: 498 Nizam Block, Allama Iqbal Town. , Lahore , Pakistan
PROFESSIONAL PROFILE
Final-year Electrical Engineering undergraduate with a strong academic background in communication systems, signal processing,
and machine learning. Actively involved in research related to 6G networks and driven by a passion for innovation and research-
oriented problem solving. Seeking opportunities to contribute to research and development in advanced communication technologies.
EDUCATION
BEE (Bachelor in Electrical Engineering)
SEECS , Islamabad , 3.39 (4)
INTERNSHIP EXPERIENCE
XFlow Research, Islamabad, Pakistan
01-Jul-2025 - 31-Aug-2025
Investigated NLP and transformer-based LLM/SLM architectures with emphasis on model eﬃciency, scalability, and deployment
trade-oﬀs. Conducted research on model compression techniques (quantization, pruning, and knowledge distillation) to enable
resource-constrained on-device inference.
Smart Agritech Lab, SINES, NUST
01-Jun-2024 - 31-Aug-2024
Developed an automated system using YOLOv8 to identify individual cows from top-view images, enhancing farm management and
safety. prepared the image dataset, applied augmentation techniques, and trained the model and validated performance on both
static images and live video, ensuring accurate real-time detection.
FINAL YEAR PROJECT
Intelligent Physical Layer Security in HAPS-Integrated 6G Networks
I am currently pursuing my Final Year Project in the Information Processing and Transmission (IPT) Lab under the supervision of Dr.
Syed Ali Hassan. My research focuses on developing and analyzing optimal intelligent techniques for enhancing physical layer
security in High-Altitude Platform Station (HAPS)-based 6G networks.
TECHNICAL EXPERTISE
Libraries and Frameworks
Labelme, scikit-learn, pandas, NumPy, TensorFlow/Keras, OpenCV, scipy
Design and Simulation Tools
ModelSim, Proteus, LTspice, MATLAB/Simulink, LabView, Pspice
Programming Languages
Python, C/C++, C#, Assembly Language

AI enrichment

Haﬁza Adeela Arif is a final-year Electrical Engineering undergraduate with a 3.39 CGPA, specializing in communication systems, signal processing, and machine learning. She has research experience in 6G network security and practical internship experience in computer vision and NLP model optimization.

Skills (AI)

["Python", "C/C++", "MATLAB/Simulink", "TensorFlow/Keras", "OpenCV", "YOLOv8", "NLP", "Transformer Models", "Model Compression", "Physical Layer Security", "6G Networks", "HAPS", "Signal Processing", "Computer Vision", "Data Augmentation"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 67
Created: 1778168427