Application Developer Intern

Sravanthi Bagani Mobile: 408-***-****

https://www.linkedin.com/in/sbagani/ Email: *****************@*****.***

Technical Skills:

• Good experience in JavaScript (ES6) and Python programming

• Experience in web development using HTML5, CSS3, Bootstrap, ReactJS, Redux, NodeJS, ExpressJS, jQuery, Python (flask)

• Good understanding with Operating Systems and Computer Architecture

• Good understanding of MySQL queries and MongoDB schemas

• Moderate skill in writing RESTful API and handling JSON data. Experience:

Application Developer Intern at Marcelle Consultants July 2020 - Nov 2020

• Developed front-end of the application using HTML, CSS and ReactJS

• Designed and Developed APIs using NodeJS for the backend of the application to interact with the DB

• Tracked tasks, milestones and bugs via Jira and handled application code using Git.

• Integrated the application with Google Analytics to track user events and measure performance of the application.

Academic Projects:

• School Blackboard Application:

o Developed an application for school learning and course management. This application supports student and faculty interaction for features like add-view-delete courses, access course materials and assignments

o Used MongoDB and MySQL as DB, ExpressJS for backend implementation and PassportJS+JWT for user authentication

o Deployed the application in AWS EC2 cluster with ELB and scaled to handle 5000 concurrent users

• Blogpost Application:

o Developed a social media prototype application for blog posts. This application allows CRUD operations for blog posts on the user profile page. o Frontend was developed using HTML, Backend using Flask Framework and DB in PostgreSQL

• Budget App:

o Developed a user-friendly budget app using (HTML+ CSS+ ReactJS+ NodeJS) to track monthly expenses. Users can perform CRUD operations on the expense items. Search option was implemented as enhancement.

o Deployed this application on the Heroku.

• Shopping Cart Application:

o Developed a shopping cart application using MERN stack, where users can search, add, delete and checkout products. User authentication and search filters are implemented as enhancement

• AWS (Developed a Microservice using Lambda and API gateway): o Developed a Microservice using Lambda function and an Amazon API gateway end point to trigger POST, PUT, GET and DELETE on DynamoDB.

o Worked on testcases showing each function in operation. Education:

• Master of Science in Software Engineering Jan 2019 - Dec 2020 San Jose State University, San Jose, CA GPA: 3.52

• Bachelor of Technology in Computer Science and Engineering Sep 2013 – May 2017 Jawaharlal Nehru Technological University-Hyderabad, India GPA: 3.5

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