Boost Biotech Models: Real-World Deployment SolutionsBoost Biotech Models: Real-World Deployment Solutions
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Accuracy vs. Deployment
Accuracy in a notebook is a vanity metric. Accuracy in production is a business asset.
In my work with biotech microscopy, I did not just train models; I optimized a system that delivered a 13% accuracy boost in a live production environment.
Most vision models fail when they hit "noisy" real-world data. I specialize in:
• Dataset Architecture: engineering training data for high generalization
• Inference Optimization: YOLO/Transformers optimized for real-time GPU performance
• Robust Pipelines: production video systems using OpenCV and FastAPI
• Deployment Thinking : latency, throughput, and reproducible builds
If you have a Vision MVP that is stuck in development, let’s get it deployed.
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