Barsha Chaudhary — Resume
← Portfolio

Barsha Chaudhary

Software Engineer

Education

Howard University — Washington, D.C.
B.S. Computer Science · Minor in Mathematics
GPA: 3.84 / 4.00
Graduated Dec 2024

Experience

Microsoft
Software Engineer
Redmond, WA
  • Own full-lifecycle ASR model customization for enterprise customers — directing domain-specific data curation, model training, experimental evaluation, and production deployment to meet customer accuracy requirements
  • Architected an ASR Diagnostics AI Agent in C# using Semantic Kernel that autonomously reproduces reported speech recognition failures, classifies error patterns, and surfaces targeted fix recommendations — replacing manual triage with automated diagnosis
  • Engineered an Azure AI Search–powered entity extraction pipeline that auto-generates domain-specific phrase lists and curated training corpora, accelerating Speech-to-Text model adaptation for new customer verticals
  • Collaborate cross-functionally with enterprise customers to define accuracy benchmarks, interpret model evaluation metrics, and iterate on recognition improvements — bridging technical implementation with measurable business outcomes
Google
Software Engineering Intern
Seattle, WA
  • Engineered an automated test migration framework in Java that parses a proprietary UI scripting DSL and deterministically generates equivalent Java test code with full coverage parity
  • Designed the end-to-end translation pipeline — spanning lexical parsing, semantic mapping, and test file auto-generation — handling edge cases and preserving test behavior across migrated files
  • Achieved 80% automation coverage across all migration cases, eliminating weeks of manual engineering effort and unblocking team-wide test infrastructure modernization
Google
Software Engineering Intern (STEP)
Los Angeles, CA
  • Built a real-time server monitoring dashboard for the Google Drive Restore team, surfacing live server health, error rates, and process latency to enable proactive incident detection
  • Designed and implemented the full observability pipeline in Kotlin, Java, and SQL — from live metrics ingestion and storage to dashboard visualization of critical internal system state
  • Drove end-to-end delivery alongside an intern partner — owning requirements definition, data modeling, UI implementation, and testing within a 12-week cycle
Meta
Meta University Engineering Intern
Seattle, WA
  • Built and shipped a full-featured peer-to-peer Android marketplace for used textbook exchange — supporting real-time listings, in-app messaging, and map-based seller discovery
  • Integrated Google Books API, Google Maps API, Firebase, and Back4App to power geolocation-based discovery, real-time chat, and persistent cross-session data storage
  • Implemented MVVM architecture with fragment navigation, API pagination, and real-time data sync — delivering a production-quality Android app with full lifecycle management in Java

Projects

Beats — 🏆 First Place, Google HBCU Hackathon 2024
React Native · Gemini Generative AI
  • Award-winning mobile app that uses Gemini generative AI to recommend and discover music based on mood and context
  • Built cross-platform for iOS and Android using React Native
BisonBot
React · OpenAI API
  • AI-powered chatbot built for Howard University students to get answers to campus-related questions
  • Implements contextual conversation memory and university-specific knowledge retrieval using the OpenAI API

Skills

Languages Python, Java, Kotlin, C/C++, C#, Swift, JavaScript, HTML/CSS, SQL Frameworks React.js, React Native, Django, Flask, Semantic Kernel, Selenium, Bazel, REST APIs Cloud & AI Azure Speech Services, Azure OpenAI, Azure AI Search, Azure Language Service, Azure Cosmos DB Databases MySQL, MongoDB, Firebase, Back4App Tools Git, GitLab, Mercurial, Android Studio, Xcode

Awards & Scholarships

First Place — Google HBCU Hackathon 2024 (Beats)
Google Capacity Scholarship — Google Scholarship Fund, 2022
Goldman Sachs Scholar — Market Madness: HBCU Possibilities Program, 2022