I architect robust databases, scalable microservices, and autonomous AI Agent systems that automate complex business processes. Focused on reliability, speed, and cloud-native standards.
I am a results-oriented Back-End Developer and Automation Specialist. My passion lies in constructing invisible systems that solve tangible problems. I focus on developing clean APIs, designing resilient database architectures, and deploying custom integrations that bridge legacy technologies with modern cloud platforms.
With the rise of large language models, I have specialized in building autonomous **AI Agent architectures** using LangChain and workflow tools like n8n. By embedding AI into backend microservices, I translate raw intelligence into secure, structured API endpoints and self-correcting automation workflows.
High-performance backends and clean REST/gRPC endpoints.
n8n workflows, tool calling, and self-improving agents.
Modern toolsets and frameworks used to craft resilient systems and workflow automations.
Building high-availability server cores, design patterns, microservice networks, and database schemas.
Integrating multi-agent systems, complex workflow orchestrations, vector embedding retrievers, and ETL schedules.
Deploying immutable infrastructure, container virtualization, CI/CD integrations, and telemetry alerts.
A selection of systems, pipelines, and autonomous AI operations built from the ground up.
Developed a social media management and automation platform that integrates with YouTube, Facebook, Instagram, X (Twitter), TikTok, LinkedIn, and Google Ads through OAuth 2.0 authentication. The platform centralizes analytics, engagement metrics, and account management across multiple social networks. Key features include automated video scheduling and publishing, enabling users to upload content once and automatically distribute it to selected platforms at predefined dates and times. The solution was designed to streamline social media operations, improve content management workflows, and provide unified performance insights across multiple channels.
Designed and implemented an AI-powered customer feedback intelligence platform using n8n, Jira Cloud, Atlassian Rovo, Zendesk, Consumidor.gov.br, PostgreSQL, and Grafana. The solution automatically analyzes customer support conversations whenever a Jira ticket is created. Through integration with Atlassian Rovo Agents, customer transcripts are retrieved from Zendesk and processed using AI-driven sentiment analysis to generate actionable metadata tags related to customer satisfaction, frustration points, and service quality. These insights are stored in a centralized database and visualized through Grafana dashboards, enabling leadership teams to identify recurring pain points, monitor customer sentiment trends, prioritize operational improvements, and support strategic decision-making through data-driven analytics.
A multi-tiered booking integration running on n8n. The system reviews incoming meeting emails, identifies potential slots in Google Calendar, checks CRM systems to log client information, and automatically coordinates dates.
My career trajectory developing back-ends, managing integration suites, and constructing automated workflows.
CoreAgents
Kaizen Gaming
Whether you have an automation project, database queries to optimize, API design needs, or just want to chat about agentic AI models - drop me a message.