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Built an API automation framework for validating REST services, including response status, payload, headers, and end-to-end API workflows. Automated tests can be executed independently with detailed reporting.
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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I just submitted my entry to the Replit Buildathon! 🚀
I built ClientOS, a client-work dashboard designed to bring projects, approvals, updates, and payments into one clean workflow.
The client side is just as important: clients can open a private portal, review deliverables, approve work, and pay invoices without needing to create an account.
Live app: HERE
I also just created my Contra account a few weeks ago, so I’m really excited to be here, share what I’m building, and see where this journey goes. ✨
Would love to hear what you think!
Frontend DevelopmentQuality Assurance TestingSoftware DevelopmentNext.jsTypeScriptReplitreplitbuildathonnextjs
Great work
Designed and built the core product experience for Beauto, an AI-powered automation tool for small businesses.
What I did:
AI Assistant — chat interface where users describe a task and the AI builds the automation, with proactive, impact-ranked suggestions
Integrations hub — searchable library of one-click connections (Calendar, Stripe, HubSpot, Slack, etc.)
Analytics dashboard — automations run, hours saved, and conversion rate at a glance
Result: A chat-first flow that felt far less intimidating than traditional automation builders in user testing, driving most new automations created.
So creative 👏
SRE Automation & AI Chatbot Platform
Enterprise-grade resource optimization + AI-powered log analysis
Automated EC2 scaling with predictive analytics, intelligent approval workflows, and Bedrock-powered log intelligence — built to cut cloud waste and manual toil.
What It Solves
Forecasts resource needs from 24h metrics using predictive analysis, so scaling happens before problems hit
AI-powered log analysis (AWS Bedrock / Claude) — ask plain-English questions, get answers from your logs
Approval workflows for governance — no unsupervised changes to production
Safe automatic scaling inside maintenance windows, with real-time SNS notifications
Complete audit trails in DynamoDB for compliance
How It's Built
Terraform-managed infrastructure with S3 backend + DynamoDB state locking
GitLab CI/CD pipeline: validate → plan → apply with manual approval gates
SRE Agent Lambda monitoring metrics hourly, with predictive forecasting
Approval via Parameter Store, execution in scheduled maintenance windows
AI chatbot pulling from CloudWatch & S3, with response caching to control cost
Impact
Turns reactive, manual scaling into predictive, governed automation
Makes log analysis self-service — engineers ask questions instead of grepping logs
Every action auditable, every change approved — production-safe by design
