Gabriela De Queiroz is a founder and AI leader with 11+ years of experience helping startups build, scale, and commercialize AI products while bridging technical execution and go-to-market strategy. She has led AI and open-source initiatives at IBM and Microsoft, built cross-functional engineering teams, and translated research-grade tools into practical developer resources. As founder of R-Ladies and AI Inclusive she has grown global communities to over 150k members across 225 cities, demonstrating rare expertise in both technical leadership and inclusive community building. Gabriela is also an educator and advisor—teaching on Coursera/edX, mentoring startups, and investing through angel and venture roles—so she blends hands-on product work with ecosystem-building. Her open-source contributions include data engineering work in the widely used rladies/starter-kit, reflecting a pragmatic focus on tooling and reproducible data workflows. Based in California, she combines rigorous academic training in statistics and epidemiology with a talent for turning complex AI ethics and fairness toolkits into usable solutions for industry.
11 years of coding experience
10 years of employment as a software developer
Berkeley Executive Education, Berkeley Executive Education at University of California, Berkeley
Master of Science (M.Sc.), Statistics (focus area Computational Statistics), Master of Science (M.Sc.), Statistics (focus area Computational Statistics) at California State University - East Bay
BSc., Statistics, BSc., Statistics at UERJ
Master of Science (M.Sc.), Epidemiology (focus area Quantitative Methods), Master of Science (M.Sc.), Epidemiology (focus area Quantitative Methods) at FIOCRUZ - Fundação Oswaldo Cruz
Some useful R-Ladies files :purple_heart: :earth_africa:
Role in this project:
Data Engineer
Contributions:239 commits, 88 PRs, 288 pushes in 2 years 10 months
Contributions summary:Gabriela primarily contributed to the development of scripts for managing and updating data within the `rladies/starter-kit` repository. Their work focused on programmatically modifying a CSV file containing chapter information, adding functionality to update meetup URLs and social media links, and changing chapter statuses based on meetup presence. The commits demonstrate a strong understanding of data manipulation using R and `data.table`, with added logging and data validation.
Contributions:36 commits, 9 PRs, 26 pushes in 1 year 7 months
r-ladiesshinyrstatsdashboard
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