I build backend systems that connect the dots with AI workflows, end-to-end API integrations, and production tools that keep things moving.
- Backend development focused on reliability, observability, and “it doesn’t break in prod.”
- AI-enabled workflows (automation, orchestration, and practical use-cases)
- API integrations end-to-end: auth, webhooks, retries, pagination, rate limits, error handling
- Experience integrating with tools like Box (Cloud Storage), Salesforce, Dialpad, and project/ops platforms
Languages: Python, JavaScript, Apex
Web: HTML, CSS
Strengths: API design/integration, automation, debugging, production support
Using Box's cloud storage and event monitoring, directly on upload, we use AI to scan documents and apply metadata.
Highlights:
- Real Time Monitoring
- AI Metadata extraction and application
- Statistical reporting and self-monitoring.
A personal homelab setup where I experiment with automation, services, and self-hosting. Now I’m building toward home-lab AI.
Highlights:
- Self-hosted services + server management
- Automation and monitoring mindset (because guessing is not a strategy)
- A playground for backend + AI experiments
I’m working toward running AI tools and workflows inside my homelab, focusing on practical, useful automation.
If you’re into backend systems, integrations, or building useful AI workflows, connect with me via on LinkedIn.