Practical insights on building production machine learning systems. From a PhD ML engineer with 15+ years of experience.
How we're building open-source tooling to simplify CV pipeline deployment on AWS. Batch processing, cost optimization, and the infrastructure decisions that matter.
What we've learned building CV systems for biological research. From microscopy to analysis, the unique challenges of biotech imaging.
After 15+ years building ML systems, here are the things that actually determine whether your ML project succeeds in production.
We help companies build ML systems that actually work in production.
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