JYM Agent is an AI agent platform that lets businesses build custom RAG-powered chatbots from their own documents. Users upload PDFs, TXT, MD, or DOCX files to a secure bucket, and the platform processes them into a knowledge base that powers an "Industry Bot" capable of answering customer inquiries instantly and accurately. Built around the principle that speed equals sales, JYM Agent helps businesses stop losing leads to slow response times by automating customer conversations with AI agents trained on their specific company knowledge.
Great on Count Subarrays with Sum Equal to K, Difficulty Easy
Great on Client-Side Authentication Failure Investigation, Difficulty Medium
Great on Discuss the Advantages of Context API vs. Redux in React, Difficulty Hard
Great on Reverse Digits of a 32-bit Integer, Difficulty Easy
Great on Word Search in Grid, Difficulty Medium
Perfect on Validate Parentheses in a String, Difficulty Hard
Founded JYM Industry and built JYM Agent, a SaaS platform offering AI agents for customer service, appointment scheduling, and RAG-powered inventory management.
Architected and developed the full platform end-to-end with Next.js and TypeScript, delivering a scalable, production-ready application.
Designed complex automation workflows with n8n and MCP servers, integrating RAG systems and AI agents to automate core business operations.
Designed and built a complete internal ticketing system from the ground up, with ticket creation, status tracking, priority levels, authentication, and notifications.
Reduced average support ticket response time by 40% through a custom-built ticketing workflow tailored to the team's needs.
Cut internal task resolution times by 30% by streamlining ticket categorization, tracking, and team communication.
Led the full migration of the company's website from WordPress to Next.js with TypeScript, improving performance, scalability, and maintainability.
Boosted SEO performance from 65% to 96% via SSR and advanced optimization, improving page load speed and Core Web Vitals.
Increased organic traffic by 25% within 3 months of launching the SEO improvements.
Built user-facing features including a product comparison tool, indexed search, and a multilingual system supporting 6 languages via i18n.
JYM Agent is a SaaS platform that delivers automated WhatsApp chatbots powered by n8n as the external workflow engine, with a built-in RAG system that lets each customer train their own model by uploading their business knowledge and customizing system prompts per agent. Built on Next.js, PostgreSQL, and Stripe (deployed on Railway), the product offers a multi-agent dashboard, paid-only plans with usage-based pay-as-you-go billing, and pluggable tools for calendar booking, inventory, email, and marketing automation with a dedicated multi-agent module for Dropi dropshipping users in LATAM currently in development












Juan Camilo Z. is mid-senior Level Developer