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.
In this episode
Manager, Data Platform, Stitch Fix
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 ✈.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.
Vishnu Rachakonda is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.