<aside> 👋 I'm a software developer, former Applied Scientist, and Senior MLOps Engineer. I like to build useful products that teach me something, and work in driven and diverse teams.

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<aside> 🌏 I am self-motivated and work best remotely with flexible hours. I have worked in international teams in varied time zones since the start of my career.

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Contact

📬 [email protected]

🌐 masoncusack.github.io

👨🏻‍💻 github.com/masoncusack

💼 linkedin.com/in/masoncusack

Experience

Independent Contractor and Consultant

*Fyrd Technology Ltd, Remote – (September 2024 - Present)*

Fyrd helps you deliver new technology projects and solve complex technical problems.

Embedding with your team, we partner, mentor, train, and cut code, to help deliver on your business critical technical projects.

Senior MLOps Engineer

*Marshmallow, London, United Kingdom – (January 2024 - Present)*

Marshmallow is a unicorn British fintech startup.

My job is to run and develop Marshmallow’s machine learning platform - enabling, serving, and scaling applications like fraud detection and dynamic pricing.

Despite being the only MLOps Engineer for much of my time at Marshmallow, I have:

• Launched new real-time pricing services, onboarding our Pricing Data Scientists to using the ML Platform.
• Improved operational excellence with the introduction of proper deployment monitoring and alerting, incident reporting, security standards, and deployment testing, while handling cost tracking including the management of savings plans, for tens of real-time and batch inference deployments.
• Introduced proper load testing protocol to reduce deployment costs up to 70% and extract maximal value from the lifecycle of ML models.
• Led the evaluation of feature stores including SageMaker Feature Store, Tecton, and Hopsworks, delivering a solution supporting the development and deployment of batch, real-time, and streaming features, unlocking use cases worth millions of pounds for more than 10x ROI.
• Worked with the CTO, CFO, legal, infosec, procurement, and technical stakeholders to agree and procure new tooling for the ML platform.
• Interviewed and hired MLOps Engineers and supporting Platform Engineers.
• Defined strategy for the development of the ML Platform for the next 3 years while maintaining shorter-term roadmaps.

Technology: Python, Docker, Terraform, AWS, Amazon SageMaker, Snowflake, Datadog, Tecton, Hopsworks, GitHub, TeamCity, WhyLabs

Independent Developer