Diogo Almeida
Chief Executive Officer at TypeSafe AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDiogo Almeida is a CEO and seasoned AI engineer with 12 years of experience building and deploying large-scale machine learning systems across research and product organizations, including OpenAI and Google Brain. He blends deep technical chops—an MS in CS with a machine learning focus and early contributions to foundational open-source projects like Theano—with a track record of shipping instruction-following models and production AI at scale. At TypeSafe AI he now focuses on making AI reliable and useful in real-world settings, drawing on prior roles from senior data science at Enlitic to software engineering at Amazon. Known for meticulous code quality and robustness (e.g., bug fixes and error-handling improvements to Theano), he pairs a mathlete’s attention to detail with founder-level strategic leadership in San Francisco.
13 years of coding experience
9 years of employment as a software developer
Master's Degree Computer Science / Machine Learning, Master's Degree Computer Science / Machine Learning at Georgia Institute of TechnologyBachelor's Degree Computer Science and Mathematics, Bachelor's Degree Computer Science and Mathematics at Rensselaer Polytechnic Institute
Github Skills (4)
error-handling10
theano10
python10
cudnn8
Programming languages (8)
Github contributions (5)
Theano/Theano
Mar 2015 - Feb 2016
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 4 PRs, 11 comments in 11 months
Contributions summary:Diogo contributed to the Theano library by addressing specific issues and improving its robustness. They fixed pep8 issues, corrected warnings related to cuDNN, and improved exception handling for older versions of the pydot library used for visualization. Additionally, the user refactored code by renaming and correcting exception types, demonstrating a focus on code quality and error handling within the library.
mathematical-expressionsmultidimensional-arrayspymcpythontheano
diogo149/lein-edn-validator
May 2014 - Sep 2018
An edn validator that isolates errors to the smallest possible form.
Contributions:10 commits, 1 PR, 1 push in 4 years 4 months
edn
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