Build an AI Viral Prediction Tool with Real-Time Streaming and MCP Integration in 20 Minutes
High-performance AI viral prediction tool with real-time streaming and MCP integration.
Full-Stack Engineer with Nursing Education Background Building scalable AI-powered applications at LunarCrush | React Native, Next.js, TypeScript Applying user-centered design principles learned from healthcare training to software development.
From Healthcare Training to High-Scale Software Engineering:
My path into software development began with nursing education,
which taught me to work methodically under pressure and pay close
attention to detail—skills that translate well to debugging
complex systems and collaborating in fast-paced startup
environments.
Current Role at LunarCrush:
As a Software Engineer at LunarCrush, I build the React Native and
Next.js application that serve thousands of users processing
real-time social data. I work closely with cross-functional teams
to deliver features while maintaining code quality through
comprehensive testing and CI/CD optimization.
Technical Versatility:
My experience spans diverse environments—from Vue.js analytics
platforms at Mongoose to React-based B2B systems at Credit Key.
This breadth allows me to quickly adapt to new technologies and
business domains while focusing on scalable, maintainable
solutions.
Professional healthcare application combining Google Gemini AI with machine learning for intelligent medical risk assessment. Features hybrid AI analysis, clinical reasoning, and always-on serverless deployment.
Tech Stack: Python, Gemini, JavaScript, Next.js, Vercel
Highlights: Healthcare Domain, AI Integration, Serverless Architecture, Clinical Decision Support, Machine Learning
Live Demo GithubReal-time social media analysis tool that predicts viral potential using Google Gemini AI, with live creator data via Model Context Protocol (MCP). Features streaming updates and psychology-based engagement scoring.
Tech Stack: JavaScript, Gemini, MCP Protocol, Next.js, Vercel, Chakra UI
Highlights: Live social data, AI Integration, Serverless Architecture, Real-time streaming with live progress updates
Live Demo GithubAdvanced voice interface demonstrating AI integration and real-time data processing. Features speech recognition, AI-powered analysis, and responsive web design.
Tech Stack: Next.js, TypeScript, Google Gemini AI, MCP Protocol, AWS Amplify
Highlights: Voice-to-AI workflows, real-time data sync, production deployment
Live Demo GithubProduction-ready analysis system featuring multi-step AI processing, background job workflows, and real-time dashboard updates. Demonstrates enterprise architecture patterns with comprehensive data handling.
Tech Stack: Next.js, TypeScript, Google Gemini AI, Inngest, PostgreSQL, Supabase
Highlights: Multi-step AI pipelines, background job processing, real-time progress tracking, database optimization
Live Demo GithubHigh-performance backend system implementing Model Context Protocol (MCP) for AI-enhanced data processing. Features Go microservices, Redis caching, and real-time synchronization across multiple data sources.
Tech Stack: Go, Redis, TypeScript, MCP Protocol, Inngest, Docker
Highlights: Microservices architecture, high-performance caching, MCP implementation, horizontal scaling capabilities
Live Demo GithubHigh-performance AI viral prediction tool with real-time streaming and MCP integration.
High-performance cryptocurrency rankings dashboard with real-time social sentiment analysis.
Voice-powered cryptocurrency AI agent with Google Gemini AI, LunarCrush MCP integration, and advanced voice controls.
Transform social intelligence into trading insights using Model Context Protocol (MCP) and AI-powered analysis
Transform social media buzz into actionable trading signals using real-time sentiment analysis and AI-powered recommendations.
Transform social media buzz into actionable trading signals using real-time sentiment analysis and AI-powered recommendations.
See how to build a production-ready crypto sentiment processor using background jobs. Step-by-step guide, complete source code, live demo, and deployable repo included!
Learn how to create a production-ready, globally distributed crypto market analysis dashboard using modern web technologies and real-time financial data. Features Cloudflare Workers edge deployment, LunarCrush API integration, and comprehensive error handling.
Complete step-by-step tutorial showing how to build a beautiful, live crypto sentiment dashboard using Next.js and the LunarCrush API. Includes comprehensive code examples, responsive design patterns, and production deployment strategies.
Ready to Build Something Great
I'm seeking opportunities where I can apply my full-stack expertise with AI integration, and scalable system design. Whether you're building the next big platform or scaling existing products, let's discuss how I can contribute to your team's success.