iOS Intern

• Aug 2023 - Present

iOS App Developer

• Feb 2023 - Jul 2023

Made demo apps using UIKit. Worked with Table Views, Collection views, custom cell design using Xibs, combination of collection and table views, stack view, scroll view, higher order functions, file downloading with pause, resume and cancel, API calling, UIKit Animation, Core Animation(basic), Programmatic UI, Concurrency(basic) Made demo apps using UIKit. Worked with Table Views, Collection views, custom cell design using Xibs, combination of collection and table views, stack view, scroll view, higher order functions, file downloading with pause, resume and cancel, API calling, UIKit Animation, Core Animation(basic), Programmatic UI, Concurrency(basic)

iOS Developer

• Sep 2022 - Oct 2022

- Worked on app features like pagination of messages, fetching messages from firebase, marketplace post creation for fixed type of bid and updating the firebase post collection on successful post creation. - Connected SwiftUI front-end components with backend on firebase. - Worked on app features like pagination of messages, fetching messages from firebase, marketplace post creation for fixed type of bid and updating the firebase post collection on successful post creation. - Connected SwiftUI front-end components with backend on firebase.

Summer Intern

• Jun 2022 - Jul 2022

~ Worked in the web scraping team for the design and development of “Intelligent Web Portal for Women Education and Empowerment”, developed under the aegis of WoS- B Scheme, DST(Department of Science and Technology), Govt of India under Asst. Prof Charu Gupta. ~ Implemented ETL (Extract, Transform, Load) jobs for consolidating data from multiple sources of website containing internships, fellowships, jobs and scholarships using Selenium. ~ Tested the scripts written by me and others on the IGDTUW website and automated the process of scraping. So, Whenever there is a new job posted, my script will compare data with the earlier versions of data and stores the new job corresponding to the unique job id as key. ~ Wrote optimised and modular code that involves use of templates, Logging and Exception Handling. Show less

Microsoft Engage

• Apr 2022 - May 2022

- Developed a face recognition based iOS app that recommends songs against the emotions recognised from the face. For ex: if sad face expressions are recognised, it will recommend happy songs from a happy playlist to cheer you up. - Developed a player view to play those recommended songs from the playlists of Apple Music API - Emotion analysis from the face shows the percentage of happy, sad, disgust, fear, neutral, surprised and angry in a Dashboard tab. - Used Google Firebase to authenticate users through login/signup and LocalAuthentication framework to authenticate using Face ID and Touch ID. Show less