Frida De Sigley
AI CSE at CoreWeave
Glasgow, Scotland, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolFrida De Sigley is an AI Customer Support Engineering leader based in Glasgow with six years of experience bridging machine learning engineering, cloud deployments and customer-facing solutions. Currently an AI CSE at CoreWeave and previously Manager of AI Customer Support Engineering at Weights & Biases, she led EMEA ML teams supporting thousands of enterprise users and achieved a 95% NPS through rapid, technically deep resolutions. Her hands-on background spans PyTorch, Lightning, Docker, Kubernetes and major cloud providers, plus direct contributions to the widely used wandb SDK fixing dependency and artifact issues and extending usability for SageMaker users. Before transitioning into AI, she managed data-driven refugee integration programmes and built Salesforce-based, object-oriented databases for sensitive case data, a background that informs her pragmatic, user-centric approach to tooling and trust. Frida holds postgraduate AI studies and an MSc from the University of Stirling, combining technical rigour with creativity from a Fine Art Photography BA. Colleagues describe her as a problem-solver who moves fluidly between debugging SDKs and designing scalable support workflows that improve product experience.
6 years of coding experience
4 years of employment as a software developer
Facilitation Skills, Facilitation Skills at KinharvieMaster of Science - MSc, Master of Science - MSc at University of StirlingMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at The Data Lab AcademyArt Psychotherpy, Art Psychotherpy at University of GlasgowBA (Hons.) Fine Art Photography, BA (Hons.) Fine Art Photography at The Glasgow School of Art
Stackoverflow
318reputation
83kreached
10answers
0questions
Github Skills (22)
python10
machine-learning10
data-science9
pytorch9
deeplearning-ai9
deep-learning9
mlops8
tensorflow8
ai7
keras7
hyperparameter-optimization7
python-venv6
jupyter-notebook6
google-colaboratory6
virtualenv6
Programming languages (5)
Github contributions (5)
wandb/wandb
Mar 2022 - Dec 2024
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 10 PRs, 64 pushes in 2 years 9 months
Contributions summary:Frida primarily contributed to bug fixes and new feature implementations within the Weights & Biases SDK, demonstrating expertise in handling dependencies and ensuring proper functionality. Their work involved resolving issues related to the `boto3` library in artifact downloads and enabling set types within the `wandb.Config`. The user also added a new parameter to the image class to specify file types and made updates to accommodate SageMaker configurations, indicating a focus on improving the user experience and expanding the platform's capabilities.
pythoncollaborationtensorflowhyperparameter-tuningcli
fdsig/streamvid
Sep 2023 - Dec 2024
Contributions:227 pushes, 1 branch in 1 year 4 months
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