Rafaella Martin
Chief Executive Officer at Releaf Cultivation LLC
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolRafaella Martin is a CEO and former high-performing sales leader with eight years of cross-functional experience bridging business strategy and technical AI research. Based in Boston, she leads Releaf Cultivation while contributing to open-source ML work—most notably refactoring PyBullet integrations in a model-based RL library at facebookresearch/mbrl-lib—which underscores a hands-on aptitude for machine learning engineering and environment tooling. Her background in international relations and economics, plus multilingual study in Madrid, informs a global, analytical approach to product and go-to-market decisions. Known for exceeding targets in sales roles (President's Club, 144% quota achievement) and for curiosity-driven AI safety research into LLM learning and generalization, she combines entrepreneurial grit with technical depth.
8 years of coding experience
2 years of employment as a software developer
Spanish minor, Spanish, Spanish minor, Spanish at Boston University Instituto Internacional (Madrid)Bachelor of Arts, International Relations, Bachelor of Arts, International Relations at Boston University
English, Portuguese, Spanish
Github Skills (9)
gymnasium10
openai-gym10
pybullet10
python10
reinforcement-learning10
implement9
algorithm9
algorithms9
machine-learning8
Programming languages (10)
Github contributions (5)
facebookresearch/mbrl-lib
Oct 2021 - Oct 2021
Library for Model Based RL
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 36 commits, 3 PRs in 25 days
Contributions summary:Rafaella primarily refactored and extended code related to the pybullet environment integration within the model-based reinforcement learning library. Their contributions involved creating utility functions, adding methods for state management and environment freezing, and modifying existing files to align with the new pybullet functionality. This work enabled planning and interaction with PyBullet environments within the overall framework of the library.
pytorchmodel-basedmodel-based-reinforcement-learningreinforcement-learningmujoco
mcx-lab/rl-baselines3-zoo
Aug 2021 - Sep 2022
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Contributions:3 releases, 8 reviews, 72 PRs in 1 year
stable-baselinespybullettraininglogisticsoperations-research
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.