Hello, I'm

Syed Muhammad Saqib

Software Engineer

Empowering users through peak performance, accessibility, and reliability.

Skills & Expertise

Building scalable solutions with modern technologies and innovative approaches

Frontend Development

JavaScript • TypeScript • React.js • Next.js • Redux • TailwindCSS • HTML5 • CSS3

Backend Development

Node.js • Express.js • Python • Django • Flask • Celery • Java • PHP • RESTful APIs

Database Systems

MongoDB • PostgreSQL • MySQL • Redis

Cloud & DevOps

Stripe • Docker • Docker Compose • Kubernetes • AWS ECS • AWS EC2 • AWS S3 • CI/CD • Git • GitHub Actions

Computer Vision & AI

MoviePy • OpenCV • YOLOv8 • Voice Activity Detection (VAD) • FFmpeg

Real-time Systems

Parse LiveQuery • Back4App • WebSockets • Socket.IO

Work History

Experience

A track record of delivering impactful solutions and leading development teams in creating exceptional web applications.

Blackwood Marketing Pvt. Ltd.

Jun 2024 - PresentIslamabad, Pakistan

Software Engineer

React.jsNode.jsMERN Stack

PRIV

Dec 2023 - Mar 2024Dallas, Texas, United States (Remote)

Full Stack Developer

MongoDBExpress.jsReactNode.js

Upwork

Feb 2020 - Jan 2022Pakistan

Full Stack Developer (Freelance)

MongoDBExpress.jsReactNode.js

Portfolio

Featured Projects

A selection of projects I've worked on that showcase my skills and experience. Each project reflects my commitment to clean code, intuitive design, and scalable architecture.

ERP System

ERP System screenshot

A comprehensive MERN stack ERP system managing inventory, sales, and HR modules with role-based access control and real-time notifications.

MongoDB
Express.js
React.js
Node.js

Dubai Payment Portal

Dubai Payment Portal screenshot

A Next.js-based payment portal tailored for Dubai services, integrating Stripe for secure transactions, multi-currency support, and an admin dashboard for transaction analytics.

Next.js
React
Stripe
TailwindCSS
Node.js
PostgreSQL
Prisma
Twak.to

Real-time Vehicle License Plate Detection System

Real-time Vehicle License Plate Detection System screenshot

Built a real-time Vehicle License Plate Detection System using YOLOv8 for license plate detection and EasyOCR for text recognition. The system accurately detects and extracts license plate text from vehicles in both images and live video streams. It performs well under various lighting and environmental conditions, offering high accuracy and speed. Ideal for traffic monitoring, automated toll systems, and parking management, the solution is deployable on cloud or edge devices for scalable and efficient use.

Python
YOLOv8
EasyOCR
OpenCV
FFmpeg

Academic Background

Education

My academic journey in computer science and software engineering.

Bachelor of Science in Software Engineering

COMSATS University Islamabad, Abbottabad Campus
2020 - 2024
  • Major in Software Engineering with focus on Web Technologies and Distributed Systems
  • Relevant Coursework: Data Structures, Algorithms, Web Development, Database Systems
  • CGPA: 3.1/4.0

Intermediate in Pre-Engineering

Bright Vision College
2018 - 2020
  • Major subjects included Physics, Chemistry, and Mathematics
  • Percentage: 85%

Contact

Get In Touch

Feel free to reach out if you'd like to connect.