Inam Ul Haq Baba

About

MCA graduate and software developer with experience across full-stack web development, REST APIs, relational and NoSQL databases, and machine learning/computer vision. Built projects using React.js, Node.js, Express.js, and YOLOv9, including an Android-based weed detection system.

Education

• Master of Computer Applications (MCA)
  University of Kashmir
  Computer Applications · 2024 – 2026
• Bachelor of Computer Applications (BCA)
  University of Kashmir
  Computer Applications · 2021 – 2024

Skills

• C <3 months
• CSS <3 months
• Computer Vision <3 months
• Deep Learning <3 months
• Express.js <3 months
• HTML <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• Tailwind CSS <3 months
• React <3 months
• jQuery <3 months
• API Integration Understanding <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• MongoDB <3 months
• MySQL <3 months
• PostgreSQL <3 months

Projects

• JustType ↗
  HTML, Tailwind CSS, JavaScript, jQuery

  Responsive typing practice application supporting 1-, 3-, and 5-minute tests with validation, WPM and accuracy tracking, error detection, timers, and audio feedback.

• G-News ↗
  React.js, News API, Tailwind CSS

  Responsive news application with live content delivery, category filtering, dynamic search, and a mobile-first UI.

• Smart Lawn Maintenance ↗
  Android, YOLOv9-S, REST API

  Android weed detection app using YOLOv9-S, showing weed classes, bounding boxes, and confidence scores, with client-server image upload for inference.

• Blogsy ↗
  HTML, Tailwind CSS, JavaScript, Node.js, Express.js, EJS

  Responsive blog web application with post creation, dynamic rendering, category filtering, routing, and reusable EJS components.

Courses & certifications

• Full-Stack Web Development · Udemy

🏆 Achievements & awards

• 54th Senior National Kho-Kho Championship Representation

  Represented Jammu & Kashmir at the 54th Senior National Kho-Kho Championship.