Melissa Fabros
Machine Learning Researcher at Prognostication Engines
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolMelissa Fabros is a machine learning researcher and engineer based in Berkeley with 11 years of experience building ML-driven products and research systems across industry and academia. She blends deep learning and computer vision expertise (Keras, JAX, CV2) with full-stack and DevOps skills—shipping models and pipelines on AWS, implementing responsive front ends, and maintaining CI/CD for production workloads. Her background spans applied research on fair recommendation systems funded by the NSF, LLM alignment for education at UC Berkeley, and production ML at The Walt Disney Studios and Kiva. An active open-source contributor, she has improved the Project Jupyter website and earned competitive grants through Google Summer of Code and Rails Girls Summer of Code. Unusually, she pairs technical depth with education experience—from curriculum design and teaching to supervising literacy programs—informing her human-centered approach to AI.
11 years of coding experience
10 years of employment as a software developer
PhD Candidate English, PhD Candidate English at University of California, BerkeleyDeep Learning, Deep Learning at University of San FranciscoCertificate Front End Web development, Certificate Front End Web development at Hackbright AcademyEnglish, English at University of California, RiversideCertificate Beauty and Joy of Computing, Certificate Beauty and Joy of Computing at UC BerkeleyArtificial Intelligence, Artificial Intelligence at Stanford University
English, Japanese, Spanish, French
Github Skills (8)
html10
css10
homescreen10
frontpage10
jekyll9
static-site-generator8
javascript4
jupyter4
Programming languages (13)
Github contributions (5)
jupyter/jupyter.github.io
Jan 2016 - Oct 2016
Project Jupyter's home on the World Wide Web
Role in this project:
Front-end Developer
Front-end DeveloperContributions:17 commits, 16 PRs, 22 comments in 9 months
Contributions summary:Melissa primarily contributed to the front-end of the Jupyter website, focusing on UI enhancements. Their commits include changes to the CSS for the donate button's hover effect and adding new content to the user's section on the homepage. The user also updated the community page by creating a new calendar link and fixing a google calendar link typo. These changes reflect a focus on website updates and the incorporation of new content.
jupyterjekyllstatic-site-generatorjupyter-notebookjupyterlab
aciacons/ui
Apr 2021 - May 2021
Isomorphic Vue.js web application for the Kiva.org marketplace.
Contributions:75 commits in 1 month
vue
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