Shreya Malhotra
Application Developer at ADP | Virginia Tech ‘23 | shreyam99@vt.edu | +15404497213
Education
Virginia Tech, Blacksburg, VA, Master of Engineering, Computer Science and Application | GPA 4.0/4.0 May 2023
NMIMS University, Mumbai, India, Bachelor of Technology, Computer Engineering May 2021
Skills - Python, SQL, Docker, Helm, Kubernetes, Java, ReactJS, ASP.NET, SAS, REST APIs, NodeJS, Haskell, Kotlin, AWS, JavaScript, Vue, Observable, Tableau, MERN, MEAN, MongoDB, Linux, Django, Angular, PHP, Nginx, PostgreSQL, TypeScript, Flutter.
Experince
Application Developer at ADP New Jersey , June 2023 – Present
• Working as an Application Developer at RUN platform with 1M+ users, for feature development that allows onboarding small business and run payroll using MERN Stack as well as maintenance of the website for accessibility and performance.
• Working in playwright automation to enhance performance testing for RUN onboarding further helping in production and deployment of features built. Assisting other teams in maintaining shared features and helping reviewing PRs for code clarity and readability.
• Working as tester to ensure features being build works across most platforms & provide maximum coverage of the feature to eliminate bugs.
Application Developer Part Time at Virginia Tech, Blacksburg, Virginia, Jan 2023- May 2023
• Working under the assistance of a professor for developing a social media application for iOS users using geospatial database as well as maintaining AWS hosts.
• Providing support and feature development to connect database with mobile application and ensuring right coordinates of the location is being stored which will be used for creating images of pictures they post which will be further displayed on the maps another feature of the social application.
Application Developer Intern at ADP, Norfolk VA, June 2022 – August 2022
• Closely collaborating with network delivery services inside an agile framework and constructing a Python application using the Flask API to extract information from the server, such as IP address and VLAN switch details, and store it in CSV and PDF format to set up data centers.
• Continuing the project's deployment on Docker and collaborating closely with Helm and Kubernetes along with firewall configurations.
• Producing UML diagrams that show the project's specific information in depth and documenting the points required for the project report. Creating a simple HTML CSS website to portray the results.
• Writing automation scripts in Python that help in removing LACP switches and VLAN.