AI-driven poker analytics platform leveraging ML models and AI engine
◦ Distributed poker analytics platform leveraging modern cloud architecture and real-time processing
capabilities
◦ Production-grade application processing real poker data can process thousands of poker hands with sub-100ms response time
◦ Seamless authentication and frictionless payment processing
◦ Tech Stack: React, TypeScript, TailwindCSS, WebSockets, Node.js, FastAPI, Flask, MongoDB Atlas, Redis, AWS S3, Firebase, OAuth 2.0, JWT, Stripe, Vercel, Render
AI SaaS platform with 5 generative tools
◦ Features authenticated user login with Stripe payment token integration
◦ Driven by GPT-4, it chains together LLM "thoughts", to autonomously answer users’ queries
◦ Tech Stack: React, TypeScript, Next.js, Node, Express, Tailwind, MongoDB, Lottie, Vercel
HighlanderNow is a powerful academic platform that served ~2,000 UCR students
◦ Interactive campus map, live parking status, authenticated login, personal class schedules, PWA offline functionality, campus safety
◦ Tech Stack: Vue, React, Node, Express, REST, Firebase, Tailwind.CSS, MongoDB, Leaflet
Map, 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 driven Surf Platform with peer-to-peer sharing and
machine-learning forecasts.
◦ Share short clips of current surf spots and real-time condition
◦ Secure backend API server and database with user login and authentication
◦ Tech Stack: React.js, Node.js, Express.js, API REST, 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 data science EDA CS105 project
◦ Developed EDA visualizations, chi-squared analysis, K-NNN models, and
regression analysis on Starbucks customer data
◦ Tech Stack: JupyterLab, Python, Pandas, Numpy, Matplotlib, Seaborn, ScikitLearn
