keegan@portfolio:~/projects/msa-grid$ cat README.md
MSA Grid
Connected-safety platform for industrial gas detection
My role: Full-stack — front-end, back-end and cloud infrastructure · Software Engineer, Safety iO
Overview
Safety managers need live visibility of gas-detection fleets and the people carrying them. When a detector alarms in a hazardous environment, the data has to arrive reliably and immediately — this is life-critical software, not a dashboard. Customers worldwide run fleets of 300–3,000 detectors each, with the busiest keeping around 1,500 online at once.
Highlights
- Build Angular front-ends with NGRX state management and i18next internationalisation for a globally deployed product.
- Build Node/TypeScript REST APIs backed by PostgreSQL and DynamoDB.
- Own production AWS serverless infrastructure — Lambda, API Gateway and Step Functions — scaling horizontally with concurrent demand.
- Ship weekly to production through automated Bitbucket Pipelines and Jenkins pipelines across demo, staging and production environments.
- Keep ~90% test coverage across unit, integration and end-to-end suites using Jest, Testing Library and Playwright.
- Added an AI pull-request reviewer to CI that tracks reviewed commit hashes so it only reviews new changes.
- Halved engineer onboarding from 2 days to 1 by overhauling developer documentation, and have mentored 13+ engineers.
Architecture
High-level architecture
Ingest
- IoT devicegas detectors
- Amazon EventBridge
- Kinesis Data Streams
- AWS Lambda
- RDS for PostgreSQL
Serve
- S3 + CloudFrontAngular app
- API GatewayLambda authorizer
- AWS Lambda
- RDS for PostgreSQL
Alert
- AWS Lambda
- Amazon EventBridge
- Push notifications