Federica Nocera
Principal Software Engineer at Microsoft
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolFederica Nocera is a Principal Software Engineer and AI leader based in New York with 11 years of experience building production GenAI and data solutions at scale, currently helping Azure customers move prototypes into resilient production. At Microsoft she has progressed from data scientist and tech lead to principal engineering and management roles, most recently shaping Data and AI products for capital markets and Financial Services. Federica blends hands-on full‑stack development—evidenced by practical open-source contributions to the popular doccano annotation tool—with customer-facing delivery, translating complex ML workflows into usable applications. Her background spans computational social science and engineering from Oxford and the University of Chicago, giving her a rare mix of quantitative rigor, product sensibility, and domain fluency in finance and advertising. Colleagues know her for improving developer and user experience alike, from backend refactors to frontend UX enhancements that speed annotation and navigation.
11 years of coding experience
9 years of employment as a software developer
MEng Engineering Science, MEng Engineering Science at University of OxfordMaster's of Arts Program in the Social Sciences with focus in Computational Social Science, Master's of Arts Program in the Social Sciences with focus in Computational Social Science at University of Chicago
English, Italian, French
Github Skills (16)
python10
vue10
vue-jsx10
django10
annotations9
backend9
front-end-development9
back-end-development9
javascript9
data-labeling9
annotator9
nuxt8
rest-api8
api-rest8
restful-api8
Programming languages (10)
Github contributions (5)
doccano/doccano
Jul 2019 - Aug 2019
Open source annotation tool for machine learning practitioners.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 commits, 5 PRs, 1 comment in 26 days
Contributions summary:Federica refactored backend code by implementing annotation managers to improve data handling and efficiency. They addressed a bug related to the color randomizer button and added a color dropdown to enhance the label editing functionality within the frontend. Furthermore, the user integrated page-level navigation, improving user experience and navigation within the application. They made several changes to both the backend and frontend of the application.
nlppractitionerspythontext-annotationdataset
computingForSocialScience/cfss-homework-fnocera
Feb 2015 - Mar 2015
Contributions:12 pushes in 1 month
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