Save time
Turn repetitive steps—such as data entry, notifications, and document processing—into dependable workflows.
Automation that takes repetitive work off your plate.
I’m Mark Rivera, an AI Automation Specialist. I build practical workflows that connect business tools, organize information, reduce manual work, and make everyday processes more reliable.
What would you like to know about my work?
Choose a topic below or ask your own question. The assistant uses information from my portfolio to help you explore my experience and projects.
Ask about my projects, automation skills, tools, work process, or how I could help with a business workflow.
What I can help automate
Reduce mistakes
Add validation, structured data handling, logs, and alerts so problems are easier to prevent and troubleshoot.
Connect your tools
Move information between the apps your business already uses without relying on repeated copy-and-paste work.
Selected projects
Practical automations built around real operational needs.
These projects demonstrate how I approach workflow automation, AI-assisted data processing, reliability, and maintainable handoff.
Featured project
WhatsApp Receipt Processor
Turn a receipt photo into organized spreadsheet records, without copying every field by hand.
WhatsApp receipt then AI extraction then Google Sheets
Centralized Error Handling System
Problem: Automation failures can be missed when every workflow handles errors differently.
Solution: This reusable n8n error-handling system captures failed executions, organizes useful error details, logs incidents, and sends priority alerts.
Why it matters: It makes automation problems easier to notice, investigate, and maintain.
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Tools: n8n, Error Trigger, Google Sheets, Email alerts
Self-Hosted n8n Automation Environment
Problem: Business automations need a stable environment with controlled access, backups, and reliable maintenance.
Solution: This project sets up n8n on a VPS using Docker Compose, HTTPS, login protection, backups, and version-aware maintenance practices.
Why it matters: It provides a more controlled and maintainable foundation for running automation workflows.
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Tools: n8n, Docker Compose, Ubuntu VPS, Caddy, DigitalOcean
AI Assistant Operations Dashboard
Problem: Local AI assistant systems are harder to monitor when activity, tasks, backups, and health information are spread across different places.
Solution: This project explores local AI assistant tooling and a Mission Control-style dashboard for viewing system activity, tasks, memory and handoff notes, backups, and health signals.
Why it matters: It brings operational information into one place so the system is easier to understand and manage.
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Tools: Local AI assistant tooling, Obsidian, Next.js, React, TypeScript, Tailwind CSS
About Mark
Practical automation, explained clearly.
I’m Mark Rivera, an AI Automation Specialist focused on n8n workflows, AI-assisted automation, structured data handling, and self-hosted systems.
I build with reliability and maintainability in mind. That means validating incoming data, handling failures clearly, documenting how systems work, and making handoff easier for the next person who manages them.
I’m especially interested in helping businesses reduce repetitive work and connect the tools they already use.
Have a process you want to improve?
Tell me what your team currently does manually, where the process slows down, and what tools are involved. I’ll review the request and let you know whether automation could help.