Lachlan Mason
Co-Founder, CEO at Quaisr
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLachlan Mason is a founder and engineering leader with 11 years’ experience building and commercialising industrial-scale simulation and ML-enabled systems, now serving as Co-Founder and CEO of Quaisr in London. He blends a PhD-backed background in chemical engineering and high-fidelity fluid simulation with hands-on ML and MLOps practice, having led data-centric engineering research at The Alan Turing Institute and contributed practical docs and deployment examples to the Seldon Core MLOps framework. As CTO-turned-CEO he’s comfortable moving between deep technical work—simulations, IoT and distributed compute—and productising those capabilities for customers. An entrepreneur trained in commercialisation and machine learning, he pairs academic rigour with a knack for making complex infrastructure accessible to engineering teams.
10 years of coding experience
5 years of employment as a software developer
Machine Learning Summer School, Machine Learning Summer School at Skolkovo Institute of Science and TechnologyGCCRS, Commercialisation, GCCRS, Commercialisation at University of Melbourne - Melbourne Business SchoolThe University of Melbourne
Github Skills (10)
istio10
kubernetes10
deploying10
mlops10
helm10
documentation10
kubernetes-pods10
jupyter-notebook9
machine-learning9
python8
Programming languages (15)
Github contributions (5)
SeldonIO/seldon-core
Mar 2021 - Mar 2021
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Role in this project:
MLOps Engineer
MLOps EngineerContributions:1 review, 8 commits, 2 PRs in 2 days
Contributions summary:Lachlan primarily contributed to the project by updating documentation and examples related to the deployment and usage of machine learning models within the Seldon Core framework. Their work included adding helm v3 commands, creating and modifying Jupyter notebooks to demonstrate Istio canary deployments, and fixing links within the documentation. These changes aimed to improve user understanding and streamline the deployment process for machine learning models using Seldon Core.
monitorservingdata-sciencedeploymentmachine-learning
masonlr/obsidian-starter-templates
May 2020 - Apr 2021
:rocket: Starter templates for Obsidian.md
Contributions:13 commits, 8 PRs, 19 pushes in 10 months
obsidian-mdrocketobsidian-pluginstarter-templatesobsidian
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