Pedro Rodriguez
Research Scientist at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolPedro Rodriguez is a Research Scientist at Meta with 12 years of experience building machine learning and deep learning systems for natural language processing, especially entity-centric tasks like question answering, dialogue, and tracking entity evolution. He completed PhD work at UMD and earlier research at Berkeley, where his QANTA trivia AI famously beat top human players in an exhibition match, showcasing practical expertise in production ML systems using PyTorch, Spark and cloud infra. His industry internships span Facebook AI, Microsoft Research, and Google, and he has production data-science experience at Zillow/Trulia, Oracle Data Cloud, and Riot Games. An active open-source contributor, he has improved developer tooling and data pipeline libraries (e.g., Atom script integration and PyFunctional tests), reflecting a blend of research rigor and engineering polish. Based in Seattle, he pairs academic depth with hands-on system design for retrieval-augmented language models and evaluation-driven ML.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Artificial Intelligence, Natural Language Processing, Doctor of Philosophy - PhD, Computer Science, Artificial Intelligence, Natural Language Processing at University of MarylandBachelor's degree, Computer Science, Bachelor's degree, Computer Science at UC BerkeleyDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Colorado BoulderHigh School Diploma, High School Diploma at Bishop Kelly High School
English, Spanish
Stackoverflow
1,632reputation
100kreached
5answers
8questions
python
top-5%
Github Skills (26)
atom-editor10
unit-testing10
javascript10
coffeescript10
python10
uid10
front-end-development10
functional-programming10
unit-test10
command-line-interface9
ui-design9
command-line9
command-line-tool9
lessc8
user-interface8
Programming languages (21)
Github contributions (5)
EntilZha/PyFunctional
Feb 2015 - Jun 2022
Python library for creating data pipelines with chain functional programming
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:11 releases, 27 reviews, 432 commits in 7 years 5 months
Contributions summary:Pedro primarily contributed to the `pyfunctional` library by adding tests for new features and fixing existing ones. They implemented tests for iterators, and corrected or expanded tests for functions like `group_by_key`, `reduce_by_key`, `max`, and `min`. The user also addressed import errors and performed version bumps. Additionally, they incorporated support for Python 3 and refactored the code to improve overall quality.
python-librarypythondatapipelinefunctional-programming
atom-community/atom-script
Mar 2014 - Apr 2014
:runner: Run ( scripts | selections | source ) in Atom
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:27 commits, 77 comments, 66 issues in 20 days
Contributions summary:Pedro primarily focused on implementing features for configuring and running scripts within the Atom editor. They added a UI for setting script arguments and working directory, integrating these options with the existing script execution functionality. Their work involved modifying the UI and command structure, along with changes to keymaps and stylesheets, to provide an improved user experience for customizing script execution. They refactored the codebase to use more standard UI/UX elements, and addressed bugs to ensure proper behavior.
atom-pluginscripttextmaterunneratom
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