AI-driven poker analytics platform leveraging ML models and AI engine
◦ Distributed analytics engine (FastAPI/Flask, MongoDB, Redis) processing thousands of hands with sub-100ms response time.
◦ Live WebSocket analytics, automated hand-history processing, and Stripe subscriptions supporting 1,000+ concurrent users.
◦ Tech Stack: React, TypeScript, TailwindCSS, WebSockets, Node.js, FastAPI, Flask, MongoDB Atlas, Redis, AWS S3, Firebase, Stripe, Vercel
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.
◦ Role-based access control with secure Stripe subscriptions and tokenized payments.
◦ Modular API architecture for text rewriting, research automation, and document analysis.
◦ 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
◦ Interactive campus map, real-time parking, user auth, and personalized class schedules.
◦ PWA offline support, 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 upscales images using Real-ESRGAN model
◦ Upload any image type and get AI-enhanced clarity with intelligent upscaling.
◦ Tech Stack: Rust, Vue3, Tauri, Real-ESRGAN
Live Website
Full-stack responsive website for the Startup Club at UCR.
◦ Secure user registration, profiles with permissions, event calendar, and 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.
◦ Share live surf clips with real-time conditions mapped across coastal regions.
◦ Secure API backend with auth, geolocation mapping, and data-driven swell forecasting.
◦ Tech Stack: React.js, Node.js, Express.js, REST APIs, Mapbox, MongoDB, Firebase
Automated job application bot for LinkedIn Easy Apply.
◦ Scrapes and filters job positions, then auto-submits applications at scale.
◦ 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
