Ajairaj

Software Engineer


Portfolio

Education

B.Tech in Computer Science and Engineering

Jun 2020 – Apr 2024

Amrita Vishwa Vidyapeetham, India | CGPA: 8.10 / 10.00

Focused on areas including Cloud Computing, Machine Learning, Deep Learning, and Optimization.

Led student clubs and organized community events to support academic and creative engagement.

Experience

Programmer Analyst

Dec 2024 – Present

Cognizant, Pune, India

Key Technologies: ABAP, SAP ERP, Debugging Tools

Developed and maintained custom ABAP reports for the Cambridge University Press ERP system.

Streamlined data processing through efficient report development and debugging techniques.

Collaborated cross-functionally to translate complex business requirements into effective technical solutions.

Projects

Quiz Application with Microservices

Jan 2025 – Mar 2025

Code

Key Technologies: Java, Spring Boot, Spring Cloud Netflix Eureka, Spring Cloud OpenFeign, REST APIs

A scalable Quiz Application built using microservices architecture.

  • Designed and implemented RESTful APIs for core quiz functionalities using Microservices.
  • Utilized Feign Client to enable seamless communication between the Question Service and Quiz Service.
  • Integrated Eureka Server for dynamic service discovery and registration, improving fault tolerance and scalability.

GitHub Finder

Nov 2023 – Dec 2023

Code | Live Demo

Key Technologies: React.js, Tailwind CSS, JavaScript

A dynamic GitHub Profile Explorer.

  • Developed an intuitive platform for searching and exploring developer profiles.
  • Showcases coding expertise and UI design skills with a polished interface.
  • Globally deployed on Vercel, ensuring seamless accessibility.
  • Demonstrates end-to-end expertise in development and deployment.

Top-down Shooter Game

Oct 2023 – Nov 2023

Code | Live Demo

Key Technologies: Godot Engine, GDScript, 2D Game Development

A captivating 2D top-down shooter game.

  • Developed a dynamic game showcasing expertise in game development.
  • Implemented shooting mechanics for engaging player interactions.
  • Designed immersive enemy AI and dynamic gameplay elements.
  • Created a compelling player experience with well-balanced mechanics.

Cropance-22

Jan 2023 – Feb 2023

Code

Key Technologies: Python, CNN, Flutter

Mobile-based crop disease prediction tool built with deep learning.

  • Used CNN and transfer learning to identify cotton leaf diseases with high accuracy.
  • Designed a farmer-friendly mobile interface to deliver actionable results in real time.