WasifUllah

Hi, I'm Wasif Ullah

MERN Stack Developer

developer.js
const developer = {
  name: "Wasif Ullah",
  role: "MERN Stack Developer",
  skills: ["React", "Node.js", "MongoDB", "Express", "AI/ML"],
  passion: "Building scalable web applications"
};

Building scalable web applications and AI-driven solutions with a passion for problem-solving and innovation.

About Me

Professional Profile

MERN Stack Developer with a passion for building scalable web applications and AI-driven solutions. Strong problem-solver with a 1+ year track record of delivering high-impact features in agile environments.

I combine technical expertise in React, Node.js, and Python with exceptional collaboration skills, adapting quickly to new technologies to create efficient and innovative solutions.

Currently focused on developing full-stack applications that leverage modern web technologies and machine learning to solve real-world problems.

Skills

Frontend

React
JavaScript
HTML5
CSS3
Bootstrap
Tailwind CSS

Backend

Node.js
Express.js
Python
PHP
Web Scraping

Databases

MongoDB
SQL

AI/ML

TensorFlow
pandas
NumPy
Matplotlib
Scikit-learn
OpenCV

Tools & Others

GitHub
JWT
REST APIs
AWS
Agile Development

Experience

MERN Stack Developer

Gojins

Mardan

March 2024 - Present
  • Produced a full-stack Tailoring Business Management System using MERN stack, improving operational efficiency by 30%.
  • Enhanced an AI-Powered Equipment Troubleshooter application implementing ML algorithms that reduced diagnostic time by 25%.
  • Currently building a Portfolio Builder application with JWT authentication and dynamic user dashboards.
Junior Software Developer

UNAZ Legal Services

Nowshera

Nov 2023 - Feb 2024
  • Contributed to a Lawyer Case Management App using React and Node.js, optimizing workflows through async programming.
  • Constructed a Student Management System with React and Context API, enhancing data management efficiency by 40%.

Projects

Pakistani Sign Language Generation (FYP)
A GAN model using Python and TensorFlow to generate sign language images.
  • Developed a GAN model achieving 85% accuracy in sign language image generation.
  • Created a custom dataset and implemented image processing techniques to improve model performance by 20%.
Python
TensorFlow
GAN
Image Processing
Titanic Survival Predictor
A classification model analyzing passenger demographics with high prediction accuracy.
  • Built a classification model with 89% prediction accuracy.
  • Implemented feature engineering techniques that improved model precision by 15%.
Python
Scikit-learn
pandas
Data Analysis
RPS Image Classifier
A CNN-based model classifying hand gestures with high accuracy.
  • Designed a CNN-based model classifying hand gestures with 92% accuracy.
  • Optimized image preprocessing pipeline, reducing inference time by 30%.
Python
TensorFlow
CNN
Computer Vision

Education & Certifications

Bachelor of Science in Computer Science

University of Engineering and Technology

Mardan

2021 - 2025

Resume

My Resume

Download my resume to learn more about my experience, skills, and qualifications.

Contact Me

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