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Designed and implemented AWS DevOps solutions for automated application delivery, including CI/CD pipelines with Jenkins and GitHub, infrastructure provisioning with Terraform, and containerized deployments using Docker and Amazon EKS. Managed AWS services such as EC2, VPC, IAM and S3, and implemented monitoring with CloudWatch, Prometheus and Grafana. Focused on automation, scalability, secure infrastructure and reliable deployments.
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This is high end touch. wonderful execution
In 2024 I took over a vet telehealth app. The previous developer was gone, nothing was in version control, and it had never made it to production.
My first instinct was to start fixing bugs. Glad I didn't. I spent the first days getting it into GitHub, setting up Docker so local dev actually worked, and wiring GitHub Actions to deploy to the server. Boring work, but after that every fix could actually ship.
Then came the real features: scheduling, Stripe, Zoom calls etc.
Lesson I keep relearning: on a stuck project, get a reliable way to ship first. Nothing fancy here, just a plain nginx server and an automated deploy. The point is that every fix goes out the same way.
getting it into git and Docker before touching any bugs is the move, respect
E-commerce Operations Automation & Order Management System
I designed an e-commerce operations automation system to show how a growing online store can handle increasing order volume without increasing repetitive manual work.
The system connects key operational processes—including order handling, customer data, CRM updates, inventory monitoring, customer notifications, internal alerts, and reporting—into one coordinated workflow.
Instead of teams manually transferring information between tools, checking stock, updating customer records, sending routine notifications, and preparing reports, the workflow automatically moves data and triggers the appropriate next action.
The system was designed around a simple operational flow:
Order Received → Customer Data Verified → CRM Updated → Inventory Checked → Customer Notified → Team Alerted → Reporting Updated
I also designed safeguards for exceptions and failed processes so issues can be identified instead of silently disrupting the workflow.
The result is an operational system designed to help an e-commerce business achieve:
Less manual processing • Fewer errors • Faster customer communication • Better operational visibility • Easier scaling
This project demonstrates how automation can become part of the infrastructure behind a growing e-commerce store—not just a collection of disconnected automations.
Tools & technologies: Shopify/WooCommerce workflows, n8n, Make, Zapier, CRM systems, APIs, spreadsheets, and automated reporting.
What caught my attention was the exception safeguards that surface failures instead of letting the flow die silently.