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Built a real-time booking automation platform that processes reservations with sub-second response times on AWS.
The trick wasn't speed. It was handling race conditions when 50 people try to grab the same slot at once. Distributed locking, queue management, graceful fallbacks.
The unsexy engineering that makes "it just works" actually work
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Designed a car wash app that makes booking as easy as ordering a coffee.
From live queue times and nearby locations to memberships and rewards, every screen was built to make the whole experience faster and cleaner.
Love this
The Fundamental AI launch was happening. Designs were still changing less than a week before go-live. A $1.4B company was coming out of stealth mode, covered simultaneously by AWS and Axios.
My decision concerned managing information flow. I could have just built what came in, delivered it, and finished. The client would have seen progress when it was complete.
Instead, I gave them updates on every small step. This included progress on layouts, components, and minor CSS adjustments. This meant more communication for me, but every stakeholder saw the project evolve in real-time.
That transparency created a feedback loop. They could flag issues early, before problems arose. It also built trust, quickly. They needed someone reliable who kept them informed.
The project launched with no issues. Clear, consistent communication yields this outcome on a high-stakes project.
What if AWS infrastructure could detect problems before they become incidents?
I recently built an AI-powered AWS SRE automation system designed to reduce repetitive infrastructure operations.
The system:-
- Monitors EC2 CPU patterns using CloudWatch
- Uses AWS Bedrock to analyze infrastructure patterns
- Generates scaling recommendations
- Sends recommendations for human approval
- Automates the approved EC2 resize workflow
- Generates automated vulnerability insights using AWS Inspector
The goal wasn't to replace engineers it was to reduce repetitive investigation and help engineers make infrastructure decisions faster.
This is the kind of AWS automation I enjoy building: practical systems that reduce operational overhead while keeping humans in control
