I build AI automation systems that hold up in production, not demo workflows that break the first time an API returns something unexpected.
3+ years as a software engineer (Flutter, Laravel, React), now building AI automations full-time. That background is the difference: modular sub-workflows, structured outputs, real error handling on every branch.
What I build:
AI agents and chatbots (Slack, Facebook Messenger, Vapi voice), email triage and routing, RAG knowledge base systems, appointment booking automation, and custom API integrations.
Stack: n8n (self-hosted), -----------, Zapier, OpenAI, Claude, Gemini, Supabase, Airtable, Google Workspace APIs, webhooks, OAuth 2.0, JavaScript, Python.
BS Computer Science, Cum Laude (MSU-IIT). Previously full-stack dev for a Saudi-based company — remote, async, international team.
Portfolio: markjoshuaomandam.vercel.app
Tell me what you're trying to automate and I'll tell you if it's feasible.
