Developing the Mojo🔥 AI and performance focussed programming language. Working across the standard library, GPU, AI kernels, compiler, and custom AI ops.

Putting machine learning models into production using Rust to improve reliability, security and performance.

• Adding functionality and speeding up latency for AWS Lambdas written in Go

• Major restructure and code de-duplication by moving database logic into an external packages for 90+ different Lambdas.

• Set up local development repo with AWS Sam and docker-compose to run the entire environment locally with hot reloading (instant feedback for lambda changes) and debugging.

• Created a Postman Team Workspace for running all our API calls, with environments for local development, dev, uat and prod, and tests to retrieve and set bearer tokens and other variables.

• Set up Postman integration tests to run automatically on merge through Newman and Github Actions

• Organizing sprints, creating architecture flow charts, splitting tickets and assigning to engineers, onboarding new starters, mentoring, and helping contractor engineers.

• Created a CI/CD pipeline using Terraform to deploy AWS Lambda functions, with SAM for local hot reloading environment.

• Replacing our old PHP mono-repo with AWS Lambda functions written in TypeScript, improving the latency of various endpoints.

• Lambdas were mainly focused on moving JSON data from AWS IoT devices into ElasticSearch, and alerting when thresholds had been exceeded.

• Added AWS API Gateway routes for React apps to query ElasticSearch / SQL