Work

Case studies of products I've shipped and problems I've solved.

PetTriage AI
Multi-Agent AI

Santa Clara University — GenAI Course

PetTriage AI

Dual-agent veterinary triage system that helps pet owners make confident care decisions

Product & Technical Lead — 4-person team · 10-day sprint — Jan 2026

500msResponse Time
70%Cost Reduction
18,909Documents Indexed
$0.003Per Query Cost
LangGraphPineconeGPT-4.1-miniGPT-4o-miniGPT-4o Vision+3 more
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RAG + LLMIn Progress

Flex — SCU Practicum

Flex Competitive Intelligence Platform

AI platform that turns 15+ hours of weekly competitor research into 2-hour automated intelligence briefs

Strategic Analytics Consultant — 4-person team · Jan 2026 – Present (12-week sprint)

405+Documents Indexed
5Companies Tracked
~13hrsWeekly Time Saved
ChromaDBClaude APIFastAPINext.jsPython+2 more
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Nazava × Shopee Sales Optimization
Forecasting

Analytics Showdown 2025 — Santa Clara University

Nazava × Shopee Sales Optimization

Forecasting models that won 1st Prize by translating analytics into promotion strategy

Analytics Lead — 3-person team · Nov 2024

87%Decision Speed Gain
1stPrize Won
84%Forecast Accuracy
PythonTableauScikit-learnPandasXGBoost+1 more
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Post-Release Optimizer
NLP

Personal Project

Post-Release Optimizer

AI chatbot that turns 188K track dataset into personalized release strategies for artists

Sole Developer & Product Owner · Dec 2025

188K+Tracks Analyzed
15+Query Types
PythonNLPLLMsPandasStreamlit
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LitLens — Literature Intelligence Platform
Multi-Agent AI

Santa Clara University — GenAI Course

LitLens — Literature Intelligence Platform

Multi-agent research platform that synthesizes 10–50 papers into contradiction analysis, evidence scoring, and citation-ready literature reviews

Sole Developer & Product Owner · 2025

8Specialized Agents
$0.01Per Analysis Cost
6Analysis Tabs
LangGraphLangChainGPT-4o-miniFAISSReact+3 more
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Lending Club Loan Default Prediction
ML Pipeline

Santa Clara University — ML/AI Course

Lending Club Loan Default Prediction

Ensemble ML pipeline predicting loan defaults across 887K loans with 0.80 AUC, using only pre-decision features to prevent data leakage

ML Engineer — Team Project · 2025

0.80Test AUC
887KLoans Analyzed
74Raw Features
PythonXGBoostScikit-learnPandasNumPy+2 more
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