Ed Rutter

• Maintain features processing and model training pipelines in Google Cloud platform
• Load-test, deploy, and monitor ml models at scale in AWS (SageMaker, CloudFormation, Cloudwatch)
• Develop multi-objective optimized restaurant ranking and recommender systems (batch and online)
• Evaluate feature engineering and challenger ML models using multivariant experimentation
• Debug, test, deploy, and monitor public APIs at scale to multiple environments (AWS, .Net, C#)
• Contribute to Central ML Engineering: develop ML(Ops) learning framework, hiring, and onboarding
• Collaborate at the intersection of Product, Data Science, and Engineering to define and deliver value
• Lead, roadmap, plan work, and manage stakeholders (filling in for absent product and tech managers)
• Mentor internal and externals, JETfluencer (wellness advocate), and JETsetter (relocation support)
• Establish relationships to identify opportunities, mitigate conflicts, and aid platform consolidations.

Senior Q3 2020 - Q3 2021 Engineer Q2 2017 - Q3 2020 Associate Q1 2016 - Q2 2017
● Develop, modularise, test (unit, integration, and UI), localize, and release multi-tenant iOS apps.
● Enhance features, UX, accessibility, performance, 3rd-party integrations, and architecture.
● Lead projects and collaborate with 3rd parties (Braze, Zendesk, Applause, ThoughtWorks).
● Exemplify company culture and engineering standards on a 1-year assignment in the Sydney office.

• Maintain and extend the interactive magazine platform, FutureFolio
• Build iOS Benchmarker, Colour Calm coloring game & Horse Photographer Simulator.