AI-driven poker analytics platform leveraging ML models and AI engine
◦ distributed analytics engine (FastAPI/Flask, MongoDB, Redis) that processes thousands of poker hands, delivering real-time statistical modeling and behavioral insights.
◦ Production-grade application processing real poker data can process thousands of poker hands with sub-100ms response time
◦ Features live WebSocket analytics, automated hand-history processing, secure authentication (Firebase/OAuth), and
Stripe-based subscriptions, supporting 1,000+ concurrent users across multi-cloud deployments.
◦ Tech Stack: React, TypeScript, TailwindCSS, WebSockets, Node.js, FastAPI, Flask, MongoDB Atlas, Redis, AWS S3, Firebase, OAuth 2.0, JWT, Stripe, Vercel, Render
AI-powered SaaS platform offering 5 autonomous generative tools
◦ Multi-tool AI workspace powered by GPT-4 with structured prompt chaining for high-accuracy reasoning.
◦ Full authentication and role-based access control with secure Stripe subscription + tokenized payments.
◦ Built modular API architecture supporting text rewriting, research automation, document analysis, and more.
◦ Tech Stack: React, TypeScript, Next.js, Node.js, Express, TailwindCSS, MongoDB, Firebase Auth, Stripe, Vercel
Academic platform serving ~2,000 UCR students with real-time campus utilities
◦ Features interactive campus map, real-time parking availability, user authentication, and personalized class
schedules.
◦ Includes PWA offline capability, campus safety tools, and persistent data sync via Firebase and REST APIs.
◦ Tech Stack: Vue, React, Node.js, Express, Firebase, TailwindCSS, MongoDB, Leaflet Maps, Vercel
Tauri based GUI app that upscale images using
Real-ESRGAN model
◦User uploads any image type and Real-ESRGAN engine produces enhanced image clarity with
intelligent
upscaling
◦ Tech Stack: Rust, Vue3, Tauri, Real-ESRGAN
Live Website
A full-stack, responsive website for the Startup Club at UCR.
◦ Features secure user registration, user profiles with permissions, interactive event
calendar, club resources
◦ Tech Stack: React, TypeScript, Next.js, Node, Express, Tailwind, MongoDB, Lottie,
Vercel
AI-powered surf platform providing machine-learning forecasts and peer-to-peer surf spot sharing.
◦ Users upload and share live surf clips with real-time conditions mapped across coastal regions.
◦ Includes secure API backend, user authentication, geolocation mapping, and data-driven swell forecasting.
◦ Tech Stack: React.js, Node.js, Express.js, REST APIs, Mapbox, MongoDB, Firebase
Automated job application filling bot, designed for LinkedIn Easy Apply
◦ Searches, scrapes, and cleans data of job positions
◦ Executes any amount of applications a user desires to send out
◦ Tech Stack: Python, Selenium, BS4, PyautoGUI
Collaborative CS105 data science project analyzing large-scale Starbucks customer datasets.
◦ Built EDA dashboards and performed chi-squared tests, K-NN models, and regression analysis.
◦ Explored purchasing patterns, demographic segmentation, and behavior forecasting.
◦ Tech Stack: JupyterLab, Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn
