Session: Code-With Engineering Playbook
The Commercial Software Engineering Organization in Microsoft collaborates with engineering teams from the largest companies and not-for-profits across the world to solve their most challenging technical problems. Though the obstacles, solutions, teams, and tools were different in each case, one common denominator was the positive culture change the CSE team was able to impart in a matter of weeks; encouraging a culture of learning and imparting Agile and DevOps practices in the customers engineering teams. In order to standardize engagements across the organizations, a “Code-With Engineering Playbook” of best practices has been developed as a repository of combined knowledge and as a starting place for customer Code-With engagements. In this talk, Federica will share her experience working across multiple customers at different stages with the Agile process and how she has encouraged and coached them to improve their Agile practices. In addition to the playbook, she will share their experiences and the unique tips to empower engineers to embrace Agile and DevOps practices, from actionable ADO user story edits to F5 contracts to improve the Developer Experience.
- Github Actions
- Editing ADO user stories
- How to improve the developer experience
- Standardizing DevOps practices with Customers
Federica Nocera is a Principal Software Engineering Lead in CSE at Microsoft. As a Machine Learning expert with multi-industry experience building and productionalizing models across technology, manufacturing, retail, and finance she is positioned to use the latest technologies to enable customers to innovate around their hardest challenges. She is passionate about developing and working on best practices to bring Machine Learning models into production, or MLops. With a background in data science, Federica is well-positioned to speak on the blurring of the roles and skillsets of engineers and data scientists. Most recently at Microsoft, Federica applied NLP and advanced search techniques to extract knowledge from loan documents for a financial services company, worked on automating forecasting models with a large retailer, predicting inventory requirements all their stores across the US, and collaborated with Toyota to bring predictive modeling to the factory floor.