Project Detail

AI Agent Orchestration Platform

Led the technical development of a cloud-native platform for deploying and orchestrating AI agents that automate developer-facing workflows.

Role
Technical Lead
Context
Developer Tools
Domain
AI Applications
Duration
9 months
Status
Finished

What changed

  1. Architected and led development of an AWS-based platform for deploying and orchestrating AI agents at scale.

  2. Built orchestration logic with AWS Step Functions and GitHub event handling to trigger the right agents based on repository activity and configurable filters.

  3. Designed and implemented a configuration parser that translated human-readable YAML into executable deployment code, improving developer experience and reducing setup complexity.

  4. Established a containerized deployment pipeline for both public and private Docker registries with secure credential management.

Technology

Python

11 technologies

Pydantic Jinja2 boto3 PyYAML requests Docker SDK for Python uv pytest mypy Black Ruff

AWS

6 technologies

AWS Lambda AWS Step Functions Amazon Elastic Container Service (ECS) Amazon Elastic Container Registry (ECR) Amazon API Gateway Amazon DynamoDB

Terraform

Terraform

Docker

2 technologies

Dockerfile Docker Compose

GitHub

2 technologies

GitHub API GitHub Webhooks

Signals

ai-agents ai-applications platform-engineering cloud-engineering devops internal-tooling