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mmehta29/README.md

Manya Mehta

M.S./B.S. Computer Science @ Arizona State University · Graduating May 2026

LinkedIn Email


About

I'm a senior CS student completing a combined M.S./B.S. at Arizona State University, graduating May 2026 with a 4.0 GPA. I build across the full stack from React and Next.js frontends to Java/Spring Boot backends and have been working increasingly in ML/AI, including RAG pipelines, LLM prompt engineering, and recommendation systems. I'm actively seeking full-time roles in Software Engineering or ML/AI.


Tech Stack

Languages

Python JavaScript TypeScript Java C/C++ Swift SQL

Frameworks & Libraries

React Next.js Spring Boot FastAPI TensorFlow PyTorch LangChain

Tools & Databases

Git Docker PostgreSQL MongoDB Firebase Figma


Projects

Built a tree-based RAG pipeline that reduces LLM hallucinations in semi-structured HTML data by enabling precise retrieval via root-to-leaf path embeddings. Achieved comparable QA accuracy to baseline models while consuming only 15% of the context required by ChunkRAG on the Natural Questions dataset. Evaluated using BERTScore, BLEURT, and ChrF.
Python LangChain FAISS RAG NLP LLMs


Built a decentralized platform on Sui Blockchain to automate royalty payments for music artists, eliminating intermediaries like record labels. Integrated the Spotify API to track real-time streams and trigger payments via smart contracts, ensuring transparent and direct revenue distribution to artists' wallets.
Sui Blockchain Smart Contracts Spotify API Move Web3


Collaborative filtering and NLP-based recommendation engine trained on Amazon product review data. Implements user-item similarity modeling to generate personalized product recommendations at scale.
Python Scikit-learn Pandas NLP Collaborative Filtering


Real-time stock market dashboard with live data visualization, built with React and Tailwind CSS and deployed on Vercel.
React Tailwind CSS JavaScript


SwiftUI iOS app that discovers nearby coffee shops using the Yelp API, surfacing ratings, reviews, and distance in clean readable cards. Integrated MapKit for interactive maps with real-time location-driven results, improving search accuracy by 30% and user experience by 25%.
Swift SwiftUI MapKit Yelp API Xcode


Full-stack e-commerce application featuring product listings, a shopping cart, and a SQLite database, built with Next.js.
Next.js JavaScript SQLite CSS


Contact


Open to full-time Software Engineering, Software Testing and ML/AI roles · Available May 2026

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