Optimizes CI pipeline speed by caching builds and tests.
Builds and deploys the React frontend with team collaboration features.
Deploys and serves Python ML models as serverless endpoints via GitHub Actions.
Manages secrets across multiple environments (dev, staging, prod).
Tracks errors and performance bottlenecks in production.
Monitors latency, costs, and quality of ML model API calls.
Automatically reviews PRs for bugs, vulnerabilities, and code smells before merging.
A robust, team-oriented CI/CD stack that introduces dedicated ML model serving and automated code quality gates.
