Cloud & DevOps
From local dev to production at scale
I own the full deployment lifecycle. For LaunchThatBot, that means Docker containers orchestrated with Kubernetes, provisioned via Ansible playbooks, with self-hosted AI models running on dedicated GPU instances. For the LaunchThat portal and web apps, it's Vercel with GitHub Actions CI/CD, Turborepo remote caching, and Cloudflare Workers for edge logic. I set up the deployment hooks, write the GitHub Actions workflows, configure the DNS, and debug the production logs — whatever it takes to ship reliably.
Key Achievements
- Built a complete self-hosted infrastructure with Docker + Kubernetes for AI agent deployment
- Created Ansible playbooks for one-command server provisioning and app deployment
- Set up CI/CD pipelines with GitHub Actions for 11 apps with scoped build validation
- Configured release-driven deploys with tag-based Vercel hooks for staging and production
Tools & Technologies
Projects Using This Skill
LaunchThatBot
AI agent deployment platform with infrastructure provisioning
Portal
Multi-tenant SaaS platform with plugin architecture
TraderLaunchpad
Professional trading platform with real-time analytics
BrowserLaunch
Browser session automation platform with task orchestration
Where I've Applied This
Explore Other Skills
System Design & Architecture
Designing bespoke systems to solve client needs
Multiple Languages & Frameworks
End-to-end type safety from database to UI
AI / LLM Integration
From API wrappers to self-hosted multi-agent systems
Captivating UI/UX
Designing and implementing engaging interfaces
Technical Leadership
Mentoring teams and establishing engineering culture