Featured Projects

Client Query Assistant

Smart client data retrieval system for businesses, ask natural language questions, and instantly retrieve loan records.

Next.jsPythonLangChainOpenAI APIAWS RDS
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AI-Powered PDF & DOCX Assistant

Securely chat with your documents using AI — instant Q&A, summaries, and a built-in General AI mode.

PythonFastAPIPostgreSQLNext.jsAWS S3
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Data Visualization Projects

Database & BI Dashboard for a Pest Control Business

Simulated a full data pipeline—from database creation with synthetic pest control data to interactive visualization. Built with PostgreSQL on Google Cloud SQL and connected to Power BI for real-time business insights.

PythonPostgreSQLPower BIGoogle Cloud SQL
View ProjectPest Control Dashboard

Texas Workforce Outlook

Interactive Power BI dashboard that turns Texas Workforce Commission growth-occupation data into clear insights on projected 2022-2032 job gains, wages and industry hot spots across the state.

PythonPower BI
View ProjectPest Control Dashboard

Client Query Assistant

Client data query assistant built with Python, LangChain, OpenAI, and AWS RDS. This tool enables users to securely query loan and customer data using natural language, delivering instant, accurate answers from internal records. Developed with a modern stack including Next.js and Tailwind CSS, and deployed via Render and Vercel. Designed to streamline internal operations for a Latin American financial company.

AI-Powered PDF & DOCX Assistant

Doc Saver Chat is a full-stack AI tool that lets users upload PDF/DOCX files and ask natural-language questions with instant, contextual answers. It also supports a “General AI” mode for standalone chat without documents. Built with FastAPI, Next.js, LangChain, and OpenAI, the app performs document chunking, embedding, and vector search using PostgreSQL. Features include anonymous access, session tracking, upload rate limiting, and a dual-mode user flow. Deployed via Render and Vercel, the project demonstrates scalable NLP integration and production-ready UX.