Jeethan Joel Crasta

Download CV

About Me

Profile Picture

I'm a B.Tech graduate in Computer Science & Business Systems, skilled in Java, Spring Boot, AWS Cloud, and MySQL. I'm passionate about architecting robust applications, optimizing database schemas, and making data-driven decisions. Let's collaborate to drive impactful results. Looking forward to connecting with great minds!

Skills

Programming Languages

Java, Python, C#, JavaScript

Frameworks and Libraries

Spring Boot Framework, Hibernate, Collection Framework, ASP .Net core, Flask, React.js, Tailwind CSS

Databases

MySQL, MongoDB, Redis, Astra vector DB

Development Tools

AWS cloud, Linux, Git, Kafka, ELK Stack, Docker, Docker Compose, Postman

System architectures

microservice architecture, OOP, ORM, Agile methodology, Rest API, Documentation

AI Tools

Retrieval-Augmented Generation (RAG) Model, Open-router, OpenAI API, Gemini API

Projects

Microservice E-Commerce Platform

Microservice E-Commerce Platform

October-December 2024

This project showcases a scalable, microservice-based e-commerce platform with JWT role-based authentication, built using Spring Boot, Eureka Server, API Gateway for backend and React for frontend. It features services with specialized databases: SQL for authentication, MongoDB for product data and availability, and Redis for caching cart data. Apache Kafka is integrated for real-time inventory and stock updates. Order management is handled by a dedicated service. The backend architecture follows OOP principles and leverages JpaRepository and MongoRepository for efficient data handling and ELK stack for server logging.

Retrieval-Augmented Generation Model

Retrieval-Augmented Generation Model

April-May 2025

AI-powered E-commerce Chatbot application leveraging Retrieval-Augmented Generation architecture that combines LLM capabilities to enable context-aware product recommendations and semantic search from real time vector Database. Built with Python, Flask, Google's Gemini API, and DataStax Astra DB, and deployed on AWS EC2, this project marks a revolution in e-commerce product recommendation domain.

AI-Based Smart Research Assistant

AI-Based Smart Research Assistant

January-February 2025

Built with Spring Boot and Gemmi API, the assistant allows users to highlight any text and click "Summarize" to instantly generate concise summaries from their respective user-selected AI models through Model API keys. Users can quickly get started by installing this extension and using it. This extension also allows users to save important insights by adding summaries to notes, making research more organized and efficient.