3 posts
In the modern ML landscape, the bottleneck for productionizing models has shifted from model architecture to data engineering. Companies like Uber, Netflix, and DoorDash have pioneered the concept of ...
In the modern ML lifecycle, the bottleneck has shifted from model architecture to data engineering. At organizations like Meta, Uber, and Netflix, the challenge isn't just training a model with billio...
In the evolution of a technology company, there is a distinct "Maturity Gap" between a data scientist training a model in a Jupyter notebook and a software engineer deploying a high-availability distr...