Sheik Mohamed Dashleem

About Me

I'm Sheik and I'm a

Highly driven and diligent Java Backend Developer with a keen expertise in Java, Spring Boot, SQL, REST APIs, Hibernate, JDBC, and Git/Github. Proficient in crafting efficient servers, robust databases, and creating responsive, captivating websites. Possessing a strong grasp of object-oriented principles. Eager to grow and contribute my skills to elevate the organization's success. A motivated and enthusiastic fresher ready to revolutionize the world of movie content with innovation and creativity.

Projects

Batch Watch

BatchWatch is a Our Batch Monitoring System is a user-friendly software solution for education organizations. With easy CRUD operations, administrators can efficiently manage batches. It utilizes Core Java and serialization-based file storage. With comprehensive reporting and analytics, educators make data-driven decisions to improve outcomes.

Tech Stack: CoreJava, Serialization-based file storage.

Git Repo

Sparkflow

CRM software catering to customer support representatives, customers, and admins. It facilitates user validations, CRUD operations, ticketing, issue resolution, and feedback management. It ensures seamless and efficient customer relationship management. Experience a streamlined CRM experience with Spark Flow's comprehensive features and robust technology stack.

Tech Stack: CoreJava ,Hibernate,MySQL

Git Repo

The Veggie Cart

This project aims to develop a RESTful API for an online vegetable shopping application. The API will enable customers to conveniently purchase vegetables and provide feedback and ratings for their orders. The admin will be able to manage the stock efficiently.

Tech Stack: Core Java, JPA with Hibernate, and Spring Boot with Rest Controller.

Git Repo

YouTube Microservice

The YouTube Microservice is a backend application powered by Java Spring Boot, MySQL, Spring Data JPA, RESTful API, and AWS S3. It enables users to upload, view, search, and manage video content. The microservice stores videos on AWS S3 and manages metadata using Spring Data JPA with MySQL. With user authentication, video streaming, and interactive features, it provides a scalable solution for managing video content similar to YouTube.

Tech Stack: Java Spring Boot | MySQL | Spring Data JPA | RESTful API | AWS S3

Git Repo

MindMesh

Mindmesh is an innovative mock interview platform utilizing the OpenAI Model (gpt3.5-turbo) API for unparalleled interview experiences. With a tech stack of React (TypeScript) and Tailwind CSS for the frontend, and Java Spring Boot with REST API for the backend, users can engage in simulated interviews and receive comprehensive feedback to enhance their interview skills effectively.

Tech Stack: Frontend: React | TypeScript | Tailwind CSS Backend: Java Spring Boot | REST API AI Integration: OpenAI Model (gpt3.5-turbo) API

Git Repo

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