Irene Alvarado
Founder, CEO at Berry Fertility
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIrene Alvarado is a founder and engineering leader with 11 years of experience building product-first technology from 0 to 1, currently CEO of Berry Fertility and Co-Founder/Head of Engineering at Early Works in San Francisco. She blends machine learning, HCI, and full-stack engineering expertise—developed at GitHub Next and Google Creative Lab—to ship polished consumer and developer-facing products. At Berry she’s translating clinical workflows into a modern patient-facing platform for fertility care, while at Early Works she incubates new companies end-to-end. Her open-source contributions include pose-estimation work for Google Creative Lab’s Teachable Machine, reflecting a practical knack for applied ML in interactive experiences. She also taught AR and prototyping at NYU’s ITP, signaling a habit of turning research and emerging tech into teachable, product-ready systems. Trained at Carnegie Mellon and Columbia, she pairs rigorous HCI grounding with entrepreneurial execution.
11 years of coding experience
5 years of employment as a software developer
International Exchange Student Palaiseau France Computer Science, International Exchange Student Palaiseau France Computer Science at École PolytechniqueDeep Learning Nanodegree Machine Learning, Deep Learning Nanodegree Machine Learning at UdacityB.S. & B.A. Computer Science & History, B.S. & B.A. Computer Science & History at Columbia UniversityMaster’s Degree M.S. Human Computer Interaction (HCI) School of Computer Science, Master’s Degree M.S. Human Computer Interaction (HCI) School of Computer Science at Carnegie Mellon University
French, Italian, Spanish, English
Github Skills (10)
tensorflowjs10
machine-learning10
javascript10
trainings10
pose-estimation10
modeling10
web-development9
computer-vision8
ml-deployment8
machine-learning-models8
Programming languages (11)
Github contributions (5)
googlecreativelab/teachablemachine-community
Jun 2019 - Feb 2021
Example code snippets and machine learning code for Teachable Machine
Role in this project:
ML Engineer
ML EngineerContributions:180 commits, 32 PRs, 82 pushes in 1 year 9 months
Contributions summary:Irene primarily contributed to the development and maintenance of a custom pose estimation model within the Teachable Machine environment. Their commits involved modifying code related to pose estimation, model loading, and prediction functions. The user also worked on integrating and expanding the PoseNet capabilities for use within the Teachable Machine framework, including adding functions for calculating class accuracies.
pythontensorflowjsteachablemachine-learningsnippets
irealva/computer-vision-nanodegree
Jul 2019 - Jul 2019
Contributions:8 commits, 3 pushes, 1 branch in 14 days
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