top of page

Hello

d1c60d5bc9a16975-sticker.png

A Bit About Me

 

Experienced Mobile Application Developer with a solid 2-year foundation in iOS and Android Application Development. Additionally, equipped with 1.5 years of hands-on experience as a Graduate Teaching Assistant. Proficient in creating engaging learning environments conducive to student success. Actively seeking Teaching and iOS Developer opportunities commencing in Winter (January) 2024.

​

Currently working as Graduate Teaching Assistant(CS599 - Mobile Application Development) at Oregon State University.

Education

Masters, Computer Science, Oregon State University 

Sep 2022 - Mar 2024

Relevant Coursework: CS(527, 561, 565, 569, 572, 575, 579), AI(534, 507), IE571

GPA: 3.90

 

Bachelor of Technology Computer Science, Indian Institute of Information Technology

2018 - 2022

1 / UpTodd(iOS/iPadOS)


Link to App Store!

Published Applications

Skills

Languages: Obj-C, C, C++, Python 3, Java, Swift, Kotlin, JavaScript

Tooling: Git, Sourcetree/Sublime Merge, VS Code, Postman, Swagger

Integration/Mobile Development: UIKit(MVC/MVVM), XCTest, CocoaTouch/CocoaPods, REST, gRPC

Database/DevOps: AWS Suite, MongoDB, MySQL, Firebase, Core Data, Jenkins, CI/CD

Relevant Skills: Object-Oriented Design, Agile Methodologies

1 / Identification of hate material in code-mixed social media data using demographic and contextual information

This publication examines methods to detect targeted audience and severity of code-mixed/Hinglish (Hindi+English) hate speech in social media while distinguishing this from general profanity. We aim to establish lexical baselines for this task by applying NLP algorithms using our data set and embeddings for this purpose. View it here!

2 / IndiaStack API for educational institutions

This publication harnesses the power of IndiaStack APIs, notably the Digilocker API. By seamlessly integrating this technology, we aim to simplify the admission process for educational institutions. The technology stack includes a dynamic web application (MERN Stack) and mobile applications for iOS/iPadOS (Swift, Firebase) and Android (Java, Firebase), ensuring a comprehensive, tech-forward solution for online admissions. View it here!

3 / Deepfakes and Generative Adversarial Networks

Publications

bottom of page