Build a Real-Time AI Chat App with React & Spring Boot

Build a Real-Time AI Chat App with React & Spring BootBuild a Real-Time AI Chat App with React & Spring Boot

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Vibin V

• 3h

Real-Time AI Chat Application: An advanced messaging system developed using React and Spring Boot. I integrated a locally hosted Mistral 7B LLM, allowing users to chat with an AI that has distinct personalities and tones.

Full Stack Development Ollama React Spring Boot

Korey Poggemoeller

• Mar 30

Senior Software Engineer & AI Automation

I designed and developed this AI-powered lead automation system as a Senior Software Engineer specializing in AI automation and workflow engineering. The system automatically monitors a lead database and triggers a processing pipeline whenever a new lead appears. It intelligently filters and qualifies leads based on predefined conditions, then uses AI to generate contextual messages and summaries. This automation eliminates manual lead handling, improves response speed, and ensures that only high-quality leads move through the workflow.

After the AI generates the message, the system formats and parses the content before automatically sending notifications to internal teams through communication channels such as Slack and email. The workflow then updates the database with the processed results, keeping all records synchronized. This project demonstrates my ability to build scalable automation systems that integrate databases, AI services, and communication platforms to create efficient, real-time business workflows.

Software Development Make monday.com N8N AI Automation Automation Engineering

Korey Poggemoeller

• Mar 30

Senior Software Engineer & AI Automation

I developed a full-stack web platform for xpromo.com.au using Next.js and MongoDB, focusing on performance, scalability, and modern web architecture. The system manages lead data and user interactions through a structured backend while delivering a fast and responsive frontend experience. I implemented secure authentication, database integration, and API routes to handle data operations such as creating, updating, and managing leads in real time. The application was designed with a clean architecture to ensure maintainability and future scalability.

On the frontend, I used Next.js to build a responsive and optimized user interface, taking advantage of server-side rendering and modern React practices to improve performance and SEO. The backend uses MongoDB to store and manage application data efficiently, while RESTful APIs handle communication between the frontend and the database. This project demonstrates my ability to build complete end-to-end full-stack solutions, integrating modern JavaScript frameworks with scalable database systems to deliver reliable production-ready applications.

Full Stack Development Next.js Backend Development Frontend Development GitHub MongoDB

Korey Poggemoeller

• Mar 30

Senior Software Engineer & AI Automation

I developed medalsnbongs.com as a full-stack web application using Next.js, integrating web scraping and OpenAI-powered content generation to automate product data processing and content creation. The platform collects product information from multiple sources through custom scraping scripts, allowing the system to automatically gather relevant product details, images, and descriptions. This significantly reduces manual data entry and helps maintain a constantly updated product catalog.

To enhance the platform further, I integrated OpenAI to generate optimized product descriptions and structured content based on the scraped data. The application uses Next.js for both frontend and backend API routes, providing a fast and scalable architecture with efficient server-side rendering and data handling. This project demonstrates my ability to build advanced data-driven full-stack applications that combine modern web frameworks, automated data collection, and AI-assisted content generation to streamline e-commerce workflows.