Jhon Fredy R.

I am a senior AI Product & Full-Stack Engineer specializing in building end-to-end AI agents, SaaS platforms, and workflow automation systems that solve real business problems in production environments. I design and ship AI agent systems and automation workflows using LLMs such as OpenAI, Claude, Gemini, and Azure OpenAI Service, with tool/function calling, RAG pipelines, and vector databases. I focus on making agents useful in real operations—connecting them to APIs, databases, CRMs, Microsoft 365, Excel-based workflows, and internal tools through reliable, observable systems rather than standalone demos. On the full-stack side, I build scalable SaaS applications using React / Next.js on the frontend and Node.js or Python (Django / FastAPI) on the backend. I implement core SaaS architecture including authentication, RBAC, multi-tenancy, billing with Stripe, REST/GraphQL APIs, background jobs, admin systems, and cloud deployment using AWS, GCP, Microsoft Azure, Vercel, Docker, and CI/CD pipelines. I also design workflow automation and event-driven systems, combining custom backend logic with tools like n8n, Zapier, Microsoft Power Automate, and Azure Functions to automate end-to-end business processes such as data ingestion, AI processing, notifications, reporting, and system synchronization across platforms. My systems are built around PostgreSQL, Redis, queues, vector databases, and event-driven architecture, ensuring scalability, reliability, and predictable behavior under load. I also integrate external services such as Stripe, CRMs, Slack, HubSpot, Microsoft 365, Excel, Power BI, and third-party APIs using webhooks and asynchronous workflows. I help businesses turn scattered operational data into usable systems by connecting AI workflows with Excel, Google Sheets, Power BI dashboards, CRM data, and internal reporting tools. This includes automating spreadsheet-heavy processes, building data pipelines, generating AI-assisted reports, and creating business dashboards for better decision-making. Core Stack: TypeScript, JavaScript, Python, SQL React, Next.js Node.js, Django, FastAPI PostgreSQL, Redis, pgvector, Pinecone OpenAI, Claude, Gemini, Azure OpenAI Service, LangChain, LangGraph, RAG systems AWS, GCP, Microsoft Azure, Vercel, Docker, CI/CD Azure Functions, Azure AI Services, Microsoft Power Automate Stripe, Slack, HubSpot, Microsoft 365, REST/GraphQL APIs Excel Automation, Google Sheets Automation, Power BI, data reporting workflows n8n, Zapier, workflow automation tools I treat every project as a product system rather than isolated features, focusing on architecture, maintainability, and long-term scalability. My goal is to deliver AI-driven software that is not only functional, but operationally reliable, extensible, and useful in real business environments.