Mason Cusack
Independent Contractor And Consultant at Relevant Labs
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMason Cusack is an experienced machine learning engineer and independent consultant with nine years delivering production ML and cloud-native systems for tech giants, governments, and retail—most recently shaping ML platforms at ASOS and Microsoft. He combines deep ML expertise (search personalisation, recommendations, GNN research) with practical MLOps and full-stack SaaS experience, having launched MicroSaaS products built on the MERN stack while travelling across Asia. Mason contributes to notable open-source infrastructure—improving the Databricks Terraform provider’s cluster and notebook handling and Azure blob mount tests—demonstrating a strong backend and DevOps pedigree. Fluent in deploying across AWS, Azure, and GCP, he pairs technical rigour with a pragmatic, empathetic approach to team building and mentoring. Unusually for an engineer at his level, he deliberately stepped away to study Mandarin and broaden his product and language skills, reflecting a growth mindset and global perspective.
9 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Computer Science with Business Management with Industrial Year with Honours, Bachelor’s Degree Computer Science with Business Management with Industrial Year with Honours at University of Birmingham
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
terraformer10
databricks10
go10
backend10
back-end-development10
terraform10
terraform-provider10
microsoft-azure9
azure9
testing8
aws3
Programming languages (8)
Github contributions (5)
databricks/terraform-provider-databricks
May 2020 - Jun 2020
Databricks Terraform Provider
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:9 commits, 2 PRs, 8 comments in 3 days
Contributions summary:Mason contributed to the Databricks Terraform provider by implementing changes to resource definitions, specifically focusing on cluster and notebook configurations. They added Jupyter as a valid notebook source and modified the validation of cluster configuration parameters. Additionally, the user integrated tests for Azure blob mount functionality, and refactored the code to ensure the correct error handling and idempotency. This included merging code from other branches to maintain the current version and modifying the integration tests environment setup.
databricksgcpproviderazureterraform
masoncusack/masoncusack.github.io
Jun 2019 - Dec 2024
Contributions:47 pushes in 5 years 7 months
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