MOHAMMED NIYAZ AHMED

Chicago,IL

Work History

Rishjay Technologies

Hyderabad, India

11.2020 - 05.2021

Created automated testing scripts using ProtractorJS to validate different functionalities and modules, ensuring high application quality.
Refined existing code by developing utility methods that simplified and reduced repetitive tasks, leading to a more efficient codebase.
Boosted team productivity by 90% through the automation of the data creation process, streamlining workflows and minimizing manual effort.
Enhanced web application features by focusing on clean, well-structured code and strictly following coding standards.
Suggested and contributed to the implementation of new features by actively collaborating with the team to bring these ideas to life.
Worked closely with mentors and project managers to gather requirements, design effective solutions, and plan implementation strategies.

Trine University

Angola, IN

05-2024

Osmania University

Hyderabad, Telangana

10.2020

Databases: MySql, MongoDB, Firebase
SOA: SOAP Web Services, RESTful Web Services,XML, JSON
Good Understanding of Data Structures and Algorithms and Object Oriented Programming

Fall 2024

To-Do List application

Developed a comprehensive To-Do List application with ReactJS for the frontend, delivering an intuitive and seamless interface for managing tasks.
Created a RESTful API using Express to facilitate effective communication between the frontend and backend components of the application.
Implemented MongoDB as the backend database, providing efficient data storage and retrieval for a scalable and dynamic user experience.
Used Postman for thorough API testing, ensuring endpoint reliability and functionality for smooth data flow between the frontend and backend.

Fall 2023 E-commerce Website (Spring Boot) | Team Size: 4

Built an enterprise-level web application using MVC architecture, Java, CRUD operations, and MongoDB, featuring a scalable and business-focused design with DevOps tools like Docker, GitHub Actions, and Heroku for deployment.
The application includes functionalities for displaying products, making recommendations, placing orders, and incorporates User Authentication and Authorization through the Spring Security library, with automated build processes, unit testing, and a CI/CD pipeline for Docker Hub pushes.

B.E Major Project (Spring - 2020):

Advanced Image Recognition System

Built an image recognition system utilizing Python and deep learning methodologies.
Applied an Encoder-Decoder framework with attention mechanisms to provide precise image captioning.
Developed an intuitive web interface using the Django framework for image uploads and caption delivery in both text and speech formats.
Employed advanced technologies such as PyTorch, Matplotlib, CUDA, and cuDNN to boost image processing performance.

Rishjay Technologies

11.2020 - 05.2021

Trine University

Osmania University