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
Back to feedPost
Enterprise DevOps Architecture for AI & Media Analytics Platform
The project focused on building a secure, scalable, and highly available infrastructure to support a full-stack SaaS application with real-time data processing, media delivery, and audience analytics. Key responsibilities included: - Designing CI/CD pipelines using GitHub Actions and Docker for automated build, test, and deployment workflows. - Deploying backend services (Node.js and Python/FastAPI) on AWS using container-based infrastructure (ECS/EC2). - Configuring cloud resources such as RDS (PostgreSQL), S3, and CloudFront for reliable data storage and media distribution. - Implementing environment separation (dev/staging/production) and zero-downtime deployment strategies.
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
Related posts
Built a modern AI automation landing experience for NeuroFlow AI.
This concept shows how businesses can turn repetitive operations into autonomous AI systems that recover hours every month and streamline revenue workflows.
Highlights:
• AI workflow automation
• Custom GPT assistants
• CRM & revenue automation
• 312+ hours recovered monthly
Exploring how AI products and automation platforms can be presented with premium SaaS design and clear product storytelling. 🚀
great work
Problem:
Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals.
Solution:
This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.
Very real problem. Manual invoice processing is still surprisingly common and becomes a huge bottleneck as companies scale. Automating extraction and validation with AI can save a lot of operational time and reduce errors significantly.
OpsHub – Internal Operations System
A custom internal tool built to centralize client management, project tracking, task workflows, and invoicing in one clean dashboard.
It replaces spreadsheets and manual coordination with a structured, role-based system that improves operational visibility and financial tracking.
Ideal for small teams that need clarity, control, and scalable internal workflows.
Well details
Trending
maxearnings
The next frontier of payments is live on Contra. How are you maximizing revenue?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?
aidesignflow
AI tools are redefining how designer work. What does your workflow look like?
micrographics
Micrographics started as utility - barcodes, packaging, instruction labels. How would you use them?
aivideo
AI video tools are moving at warp speed. What tools are you using?