Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49

Coffee Sessions #49 with Stefan Krawczyk, Aggressively Helpful Platform Teams.

//Abstract
At Stitch Fix there are 130+ “Full Stack Data Scientists” who in addition to doing data science work, are also expected to engineer and own data pipelines for their production models. One data science team, the Forecasting, Estimation, and Demand team were in a bind. Their data generation process was causing them iteration & operational frustrations in delivering time-series forecasts for the business. the solution? Hamilton, a novel python micro-framework, solved their pain points by changing their working paradigm.

Some of the main workers on Hamilton are the dedicated engineering team called Data Platform. Data Platform builds services, tools, and abstractions to enable DS to operate in a full-stack manner avoiding hand-off. In the beginning, this meant DS built the web apps to serve model predictions, now as the layers of abstractions have been built over time, they still dictate what is deployed, but write much less code.

// Bio
Stefan loves the stimulus of working at the intersection of design, engineering, and data. He grew up in New Zealand, speaks Polish, and spent formative years at Stanford, LinkedIn, Nextdoor & Idibon. Outside of work in pre-covid times Stefan liked to 🏊, 🌮, 🍺, and ✈.

// Other Links
https://www.youtube.com/watch?v=B5Zp_30Knoo
https://www.slideshare.net/StefanKrawczyk/hamilton-a-micro-framework-for-creating-dataframes https://www.slideshare.net/StefanKrawczyk/deployment-for-free-removing-the-need-to-write-model-deployment-code-at-stitch-fix

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Connect with Stefan on LinkedIn: https://linkedin.com/in/skrawczyk

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