This project is a comprehensive business analytics dashboard designed to consolidate restaurant data and provide actionable insights for operations, sales trends, inventory forecasting, and decision-making. It helps visualize key performance indicators like monthly revenue trends, inventory usage, and top-selling items to support smarter restaurant management.
The dashboard includes multiple views that display interactive charts and analytics metrics. It also integrates an AI-powered business assistant that can answer questions about trends and suggest data-driven strategies.
Build4Good Pokerbot
This project involved building an automated poker-playing bot designed to operate in adversarial and incomplete-information environments. The bot uses Monte Carlo simulations combined with strategic heuristics to make real-time decisions.
The system competed against dozens of other bots and placed second overall, demonstrating strong probabilistic reasoning and performance under strict time constraints.
Prompt Engineering – TAMU Datathon
During the TAMU Datathon, I competed in a prompt engineering challenge focused on extracting accurate reasoning from large language models under tight token constraints.
By designing structured, step-by-step prompts and iterating quickly, my team placed third overall in a competitive, time-limited environment.
AI-Assisted Collaborative Docs Platform
I designed and developed a full-stack collaborative document editor that supports real-time editing, version control, and AI-assisted writing. The system improves writing efficiency by enabling users to collaborate seamlessly while receiving intelligent suggestions.
The backend was containerized and deployed using cloud infrastructure, with optimized database queries and WebSocket communication to ensure low latency and high availability.
