Technologies: React, Angular, JavaScript, Typescript, Python3, Azure, Ansible
β’Worked in a Scrum team as a full stack developer on a Machine Learning application that builds and deploys models with Azure Machine Learning and writes inferences back into OSI PI and SeeQ, allowing for predictions of valve failures, saving Chevron $9MM per year. (React, Typescript, Python, Azure)
β’Developed and maintained frontend features for data-driven Meter Proving Dashboard that integrated with meter proving system which ensured optimal accuracy of meters connected throughout our oil pipelines.(Angular, Typescript)
β’Led the deployment of Meter Proving tool from dev environment to UAT environment. This involved the creation of a web job for data pulling, pipeline executions, pull request merge conflict resolution, code reviews and engaging with customers within the first 3 months on project. (Angular, Typescript, Ansible, Azure)
β’Extended an existing data-driven Angular table component in Meter Proving tool to allow for user filtering and exporting to excel for Health & Environmental Safety team to utilize for governance reporting. (Angular, Typescript)
β’Increased performance for Meter Proving tool by refactoring nested code and offloading Microsoft Graph API filtering from frontend; drastically decreasing application load time. (Angular, Typescript)
β’Successfully upgraded from Azure DevOps v3 pipelines to v4 pipelines, allowing for long term supportability of our products. (Ansible, YAML, Azure)
β’Created Wikis, documentation, and videos to help on-board new team members to projects, allowing for new members to contribute to products quicker.
β’Active mentor to interns and new hires to help with on-boarding process, local environment setups, and general support and career guidance.