Sajjed Hussain Qazi

Software Engineer | Full-Stack Developer | ML/Computer Vision Enthusiast

Proficient in Java, Python, and JavaScript | Specialized in DSA, OOPS, and AI/ML Solutions

About Me

Entry-Level Software Engineer with strong proficiency in Java, Python, and JavaScript for full-stack and backend development. I have a solid foundation in Data Structures & Algorithms (DSA) and Object-Oriented Programming (OOP) principles.

With proven experience in developing, training, and deploying scalable applications, including a RAG-based document query system and advanced computer vision solutions, I am eager to contribute to challenging development projects.

Current Status: Actively seeking SDE positions to leverage my technical expertise and contribute to innovative projects.

Education: Master of Computer Applications (MCA) | Baba Ghulam Shah Badshah University

Technical Skills

Programming Languages

  • Python
  • Java
  • JavaScript
  • SQL
  • C

Frontend & UI

  • React.js
  • HTML5
  • CSS3
  • Bootstrap

Backend & APIs

  • Node.js
  • Express.js
  • Flask
  • FastAPI

Databases

  • MongoDB
  • MySQL
  • PL/SQL

AI/ML & Computer Vision

  • TensorFlow
  • OpenCV
  • NLP
  • RAG Systems

Tools & Concepts

  • Git & GitHub
  • DSA & OOP
  • VS Code & PyCharm

Professional Experience

SDE Intern

Softkey Infotech | Jammu, India

February 2023 – July 2023

• Developed a core module for a luggage recognition system using Python and OpenCV

• Automated object classification workflows with efficient, real-time image processing algorithms

• Improved detection performance and system response speed significantly

• Collaborated with cross-functional teams to debug and improve ML model deployment pipelines

• Ensured stable production releases for Machine Learning models

Featured Projects

Luggage Recognition Using Image Processing

August 2023

Developed and trained a deep learning object detection model using TensorFlow for accurate luggage type classification.

TensorFlow Python OpenCV Flask

Key Achievements:

✓ Achieved accurate recognition and classification

✓ Engineered low-latency API for production-ready solution

✓ Efficient image preprocessing and manipulation

View on GitHub →

PDF Query Web App

September 2024

Built a full-stack web application for intelligent PDF document querying using RAG architecture with AI-powered responses.

FastAPI React.js Python RAG

Key Achievements:

✓ High-performance asynchronous backend using FastAPI

✓ Responsive component-based frontend with React.js

✓ Smooth and intuitive user experience

View on GitHub →

Let's Connect

I'm open to exciting opportunities and collaborations. Feel free to reach out!