resume

I have added description of my resume including my work, interests and skills.

Basics

Name Barsha Chaudhary
Label Computer Science Major, BSc
Email barsha.chaudhary@bison.howard.edu
Url https://barshac.github.io/
Summary Undergraduate graduating senior who builds apps and currently exploring Machine Learning and researching into LLM.

Work

  • 2024.05 - 2024.08
    Software Engineering Intern
    Kirkland, Washington
    Interned with Gmail EngProd team and worked on building a tool for automated test migration.
    • Developed a tool for the Gmail Web EngProd team to streamline manual migration of tests.
    • Designed and implemented the design with thorough testing ensuring the tool is user-friendly and easy to use.
    • Utilized Java and internal tools to build the tool from scratch, which could help to streamline migration of the tests by 80%.
  • 2023.05 - 2023.08
    Google STEP Intern
    Los Angeles, California
    Interned with Google Drive Restore team and worked on building monitoring dashboard to understand internal server.
    • Developed a comprehensive monitoring dashboard for the Google Drive Restore team enabling real-time visualization of server states, error identification, and process latency assessment.
    • Utilized Kotlin, SQL, and Java to collect and store data and creation of dashboard from scratch, which helped the team to deeply understand the overall internal state of server.
  • 2022.05 - 2022.08
    Meta University Engineering Intern
    Seattle, Washington
    Worked with Meta Engineers to develop an Android application which allows users to buy and sell used books and message other users like Facebook Marketplace.
    • Created clone applications in Java such as Flixster, Instagram, and Twitter during Codepath Sessions.
    • Users can make a post, message other users, comments on posts with inquiries.
    • Used APIs like Google Books, set up Database, Firebase SDK and external libraries during app development.

Education

  • 2021.01 - 2024.12

    Washington, DC

    Howard University, Washington, DC
    Computer Science
    • Software Engineering
    • Product Management
    • Machine Learning
    • Data Science
    • Operating Systems
    • Database Systems
    • Computer Networking

Awards

  • 2024.02.23
    Google HBCU Hackathon 2024
    Google
    Google HBCU Hackathon 2024 was organized in DC where HBCU from DMV participated. Out of 24 teams, we were able to secure first position. Our project was a applications that could auto-generate playlist based on users mood and prompt using Google Gemini.
  • 2022.09.23
    Google Capacity Scholarship 2022
    Google
    Google Capacity is awarded to the students who achieve academic excellence along with contribution to the community with the use of knowledge gained in the school
  • 2022.11.23
    HBCU Possibilties Scholar 2022
    Goldman Sachs
    As a participant of Goldman Sachs Market, I presented a case study on healthy drinks with prospective marketing schemes.

Certificates

Skills

Programming Languages
Python
Java
JavaScript
Kotlin
C++
HTML/CSS
SQL
Swift
Frameworks
Flask
ReactNative
Android
SwiftUI

Languages

English
Fluent
Nepali
Native Speaker
Hindi
Fluent

Interests

Web/Mobile Application Development
Android
AWS cloud
React
SwiftUI
APIs
SQL
SDKs
Firebase
Full-stack

Projects

  • 2024.02 - 2024.02
    Beats Mobile App
    A cross-platform mobile app that creates music playlists for the user based on user prompts.
    • First Place Winner of Google HBCU Hackathon.
    • Developed with ReactNative which could create music playlists based on prompt entered by users.
    • Utilized Generative AI - Gemini, Google Search API, Youtube API to make the full stack app.
  • 2024.03 - 2024.11
    BisonBot
    AI-powered chatbot designed to enhance the user experience on Howard University's website
    • Under developing Bot to have converstation about Howard University.
    • Uses Open AI model along with ChainLit for user interface which also handles communication between model and front end.
    • Uses LangChain to create pipeline for Retrieval-Augmented Generation application and ChromaDB to store embedding data.