Martyna Marcinkowska
Software Engineer 2 at Microsoft
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMartyna Marcinkowska is a customer-facing Software Engineer 2 at Microsoft with six years of experience building AI-enabled healthcare applications on Azure while collaborating directly with providers and pharma partners. She combines cloud architecture expertise from prior roles as a Cloud Solution Architect and Customer Engineer with hands-on software delivery in Microsoft's Industry Solutions Engineering team. Her background in neuroscience and data science fuels a research-minded approach to product design, especially around ML and MLOps workflows. Martyna has coached and mentored developers through hackathons and onboarding programs, helping increase developer velocity across enterprise FSI customers. Based in London, she brings a rare blend of domain knowledge in neuroscience, practical cloud engineering skills, and a passion for translating research problems into production-ready intelligent apps.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Science with Honours Neuroscience, Bachelor of Science with Honours Neuroscience at The University of EdinburghUniversity of California, San DiegoInternational Baccalaureate, International Baccalaureate at Box Hill SchoolSummer school Computational Neuroscience, Summer school Computational Neuroscience at Neuromatch Academy
Polish, English, French
Github Skills (31)
openai10
azd-templates10
azure-openai10
azure10
evaluation9
prompt8
powershell-module7
python7
docker7
rule6
machine-learning6
microsoft6
azure-templates5
powershell5
javascript5
Programming languages (8)
Github contributions (5)
tectonia/GPT-Azure-Search-Engine
Jun 2023 - Aug 2023
Azure Cognitive Search + Azure OpenAI Accelerator
Contributions:18 PRs, 63 pushes, 10 branches in 1 month
tectonia/dstoolkit-mlops-base
Oct 2022 - Jun 2023
Support ML teams to accelerate their model deployment to production leveraging Azure
Contributions:3 PRs, 55 pushes in 8 months
databricksleveragingdeploymentmodel-deploymentmachine-learning
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