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Arnav Khare

@arnavkhare

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Software engineering intern building end-to-end AI and data products with strong SDLC and ML skills.

United States

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What I'm looking for

I’m looking for a team where I can own end-to-end software features—especially AI/ML and data products—using solid SDLC, clean backend/frontend design, and automation, while learning from senior engineers.

I’m a software engineering intern who loves turning inefficient workflows into complete, production-ready products. At the University of Washington, I uplifted the yearly activity report (YAR) system into an end-to-end product using SDLC principles, then secured accurate faculty evaluation data with MongoDB CRUD operations (100% data integrity) and deployed it via Netlify and a Windows VM.

At T-Mobile, I built an AI-powered data visualization tool that reduced graph query time from 1–2 hours to 5–10 seconds by processing customer data across microservices with Azure OpenAI. I also implemented FAISS vectorstore with LangChain for sub-second semantic search across 10 million records, developed an autonomous visualization agent generating 10+ graph types, and delivered a Springboot authentication system with bearer token security.

Previously, I created a full-stack peer-feedback tool using the OpenAI API and MySQL to automate comment management and improve the user experience. Outside work, I build practical systems like an AI job alert Telegram bot, a serverless IoT monitoring app, and a fast search engine—combining automation, clean architecture, and real-world performance.

Experience

Work history, roles, and key accomplishments

Research Assistant

University of Washington

Jan 2025 - Jun 2025 (5 months)

Upshifted the Yearly Activity Report (YAR) process into a full product using SDLC (requirements, design, development, testing, automation, deployment) to streamline faculty performance tracking. Implemented MongoDB CRUD for faculty records and evaluation forms with 100% data integrity and deployed the app via Netlify and a Windows VM.

SDLC Requirements Gathering MongoDB CRUD Operations Data Integrity Test Automation Netlify Deploying

Software Engineering Intern

T-Mobile

Jun 2024 - Sep 2024 (3 months)

Built an end-to-end AI-powered data visualization tool across 4 microservices using Azure OpenAI, reducing graph query time from 1–2 hours to 5–10 seconds. Implemented FAISS + LangChain semantic search over 10M+ customer records (sub-second queries) and developed a Spring Boot authentication system with bearer token security for subscriber lookup.

Azure OpenAI Lang Chain Faiss Vector Search Data Visualization Microservices Spring Boot Bearer Token Authentication Semantic Search

Full-Stack Software Engineering Intern

GOLS

Jun 2023 - Sep 2023 (3 months)

Resolved inefficient peer-feedback analysis by building a full-stack web app using the OpenAI API and MySQL to present key findings and automate comment management, reducing feedback processing time. Developed a Node.js backend API for database updates and implemented HTML/CSS UI for comment management with 6 design sketches.

OpenAI API MySQL Node.Js RESTful APIs Full Stack Web Development Automated Comment Management Backend Development NodeJS

Education

Degrees, certifications, and relevant coursework

University of Washington

Bachelor of Science, Informatics, Data Science, Software Development

Grade: 3.71

Activities and societies: UWAwaaz A Cappella Team (Sept 2022–Present): Lead Soloist & Finance Head; manages ~$8000 annual budget and leads fundraising/expense tracking.

Pursuing a B.S. in Informatics with concentration in Data Science and Software Development at the University of Washington, expected to graduate March 2027. Maintains a 3.71 GPA.