Arushi Agarwal
Software Engineer • AI / ML • Frontend & Full Stack
ABOUT ME
Versatile Software Engineer specializing in frontend, full-stack, and AI-driven applications. Passionate about seamless user experiences, automation, and solving complex technical challenges.
PLACES I'VE WORKED AT
- ChaosSearch - Developed and improved OpenSearch Dashboards, migrated APIs, and implemented scalability features.
- Tesla - Redesigned DataViz app, improved data visualization for all Tesla factories, and enhanced API performance.
- Amazon Robotics - Created a proprietary React component library, real-time robot data visualizations, and TypeScript-based scalable UIs.
- Northeastern University IT Services - Conducted UX research, improving the student portal experience by 16%.
- Council of Scientific and Industrial Research - Built ML models for cancer research, reducing wet lab experiment time by 40%.
- Technical University of Munich - Developed survival prediction models for fish in hydroelectric turbines using TensorFlow.
OTHER PROJECTS
- ELI5 Chrome Extension - AI-powered text simplifier, making complex text digestible for any audience.
- LLM Book Recommender - Deployed using Gradio, leveraging NLP to provide intelligent book suggestions.
- Personal AI Assistant - OpenAI-powered chatbot answering recruiter queries efficiently.
- MP3 Player Project - A JavaScript-based MP3 player with custom UI and playback features.
- Pixale Photo Share - JavaScript app to search and download photos efficiently.
- Heart Failure Prediction - Machine learning model using Python for heart failure risk analysis.
- Mini Shell - A minimal shell program written in C for command-line execution.