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Ghulam Hussain Khan Sherwani

NUST · 2025
Email
ghulamhussainsherwani@gmail.com
Phone
923135977381
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
3.35
Year
2025
Education
School of Electrical Engineering and Computer Science
Address
Sahiwal , Pakistan
DOB

Career

Current role
Target role
Skills
Mern stack, java, c/c++, php, Python, c++, java, javascript, Software debugging, web dev, ML/DL
Interests / quote
6th semester BSCS student proficient in MERN stack, web dev, ML/DL. Seeking role in innovative web & AI/ML projects to advance skills.

Verbatim text

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Details
Technical Skills
Soft Skills
Reference
Ghulam Hussain Khan Sherwani
Cell: 923135977381 
Email:
ghulamhussainsherwani@gmail.com
Address: AFGHAN HOUSE 92/A
BILAL COLONY 
jhal road 
Sahiwal , Pakistan
Mern stack
Programming: java, c/c++, php
Python, c++, java, javascript
Software debugging
Mern stack web developer
English speaking and writing
To be furnished upon request.
Professional Profile
6th semester BSCS student proficient in MERN stack, web dev, ML/DL. Seeking role in
innovative web & AI/ML projects to advance skills.
Education
BS in Computer Science 
School of Electrical Engineering and Computer Science , 3.35 
Matric / O levels 
, (2019) 
Intermediate / A levels 
, (2021) 
Matriculation 
The Educators Boys High School , 1062/1100 (2019) 
Intermediate 
Divisional Public School And Inter College , 1078/1100 (2021) 
Internship Experience
Projects
Techzone 
Project: TechZone (MERN Stack Online Computer and Accessories E-commerce Platform)
Developed a user-friendly e-commerce website, "TechZone," enabling users to browse and purchase
computers and accessories. Implemented shopping cart functionality, allowing users to add and manage items for purchase. Desig
Cricket Stats Guru (C++ Application) 
Created a comprehensive Cricket Stats Guru application in C++. Utilized Kaggle datasets to provide
users with player-specific statistics, enabling searches by player name and detailed records by
various parameters such as average, economy, wickets, runs, and strike rate. Demonstrated
proficiency in data h
Unet Binarizer 
Led Unet Binarizer project for historical document binarization. Leveraged advanced image
processing and AI techniques, including median blur and adaptive thresholding, with a U-Net model.
Enhanced text clarity and extracted valuable information from degraded documents. Demonstrated
expertise in traditional i

AI enrichment

Ghulam Hussain Khan Sherwani is a 6th-semester BSCS student with a 3.35 CGPA, specializing in MERN stack web development and machine learning. He has practical experience through projects involving e-commerce platforms, data analysis applications, and AI-based image processing.
Skills (AI)
["MERN Stack", "JavaScript", "Java", "C++", "Python", "PHP", "Machine Learning", "Deep Learning", "Image Processing", "U-Net", "Software Debugging"]
Status: ai_done
Provenance
Source file: BSCS-2025-Graduate-Booklet-2.pdf
From job #245 page 18
Created: 1778159028