AT

Projects

Retrieval Engine

In Progress

Hand-Built Vector Search for an Agentic System

In progress: building and rigorously evaluating a retrieval system for an agent, implementing the index myself (IVF, HNSW, product quantization) rather than importing a vector DB, with an eval harness that scores chunking strategies on nDCG and MRR.

In progress: index layer (flat/exact kNN, IVF, HNSW, product quantization) implemented from scratch and benchmarked against FAISS

Eval harness scores chunking strategies with nDCG@k and MRR against a hand-labeled query set

LangGraph agent layer with citation-grounded output: every claim must cite a retrieved chunk, or the agent flags what evidence is missing

Concurrent serving API with P50/P95/P99 latency and recall@k tracking planned for a later milestone

Python
FAISS
LangGraph
NumPy
Prometheus
Grafana

SMAR

NSF Award $174,555

Systematic Mobile Application Reviews

HCI research tool that helps researchers analyze mobile app reviews at scale, delivering structured insights from Play Store data.

$174,555 National Science Foundation (NSF) award supporting the research.

Led development as HCI Research Team Lead at Santa Clara University

Built full-stack web application with React, MUI, and Node.js

Deployed on AWS (EC2, S3, Route 53) with Docker

Integrated Play Store scraping and data analysis pipelines

React
Material UI
Node.js
AWS
Docker
Python
Play Store API

2248 Linko

Shipped Solo

Number Merge Puzzle Game

Independently shipped mobile game on the App Store and Google Play. Draw chains of tiles to merge numbers and chase the high score, with Linko the Shiba Inu reacting to every move.

Designed, built, and shipped solo, from architecture to App Store / Google Play release

Built with Expo / React Native for cross-platform iOS & Android

Supabase backend for real-time leaderboards and score sync

Offline-first: plays without internet, syncs on reconnect

Daily missions, rewarded ads, and in-app purchases

React Native
Expo
TypeScript
Supabase
Zustand
EAS

Eatopia

Hackathon

AI-Powered Meal Planning Assistant

Cal Hacks 10 project featuring "Avo," an intelligent chatbot that generates personalized meal plans and recipes using AI.

Built mobile app with React Native and TypeScript for cross-platform experience

Integrated TogetherAI for intelligent meal recommendations and conversational AI

Firebase backend for real-time data sync and user authentication

Won recognition at Cal Hacks 10 hackathon

React Native
TypeScript
Firebase
TogetherAI
AI/ML

Lets not wait!

Hackathon Winner

Smart Wait Time Optimization

Hackathon-winning platform that reduced wait times using real-time data and intelligent scheduling algorithms.

Full-stack application with Python/Django backend and React frontend

MySQL database optimization for handling high-volume queries

Google Maps API integration for location-based services

Won hackathon for innovative approach to reducing service wait times

Python
Django
MySQL
React
Google Maps API
REST API