Gabriel Altay
Sr Staff Machine Learning Scientist at Tempus AI
Washington, District of Columbia, United States
Summary
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Rockstar🎓
Top SchoolGabriel Altay is a Sr. Staff Machine Learning Scientist with 13 years of experience combining a Ph.D.-level background in computational physics and astronomy with a decade-plus of industry work building ML systems for healthcare and intelligence startups. He designs and ships end-to-end solutions—from notebook prototypes to production Python pipelines—specializing in clinical NLP, retrieval-augmented generation, and optimizing local LLM inference at scale. At Tempus he led oncology NLP efforts and now focuses on fine-tuning and deploying medical LLMs and RAG stacks; earlier roles include building foundational NER/disambiguation and weakly supervised systems at Kensho and record-linkage and risk models in healthcare. An active open-source contributor, he has made substantive back-end and visualization contributions to notable projects like yt and kepler-mapper, applying topological data analysis and large-scale simulation tooling to real-world problems. Comfortable as both an individual contributor and manager, he brings a pragmatic research mindset to messy, noisy data and a track record of turning complex scientific code into reliable production services.
13 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Carnegie Mellon UniversityBachelor of Science (BS), Physics, Mathematics, Bachelor of Science (BS), Physics, Mathematics at Illinois State University
Stackoverflow
10,694reputation
1.4mreached
72answers
9questions
seaborn
top-1%
pandas
top-1%
matplotlib
top-1%
python
top-1%
pycharm
top-5%
Github Skills (29)
data-visualizations10
seaborn10
python10
matplotlib10
scikit10
pandas10
data-visualisation10
topological-data-analysis10
scikit-learn10
data-visualization10
scientific-computing10
data-analysis10
testing9
data-set9
data-model9
Programming languages (14)
Github contributions (5)
scikit-tda/kepler-mapper
Feb 2019 - Aug 2020
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
Role in this project:
Data Scientist
Data ScientistContributions:17 commits, 3 PRs, 19 comments in 1 year 5 months
Contributions summary:Gabriel primarily focused on enhancing the `kepler-mapper` library's visualization capabilities. Their contributions involved enabling custom colorscales derived from matplotlib colormaps, allowing greater flexibility in data representation. They also implemented tests to ensure the library's compatibility with sparse matrix inputs and addressed potential errors in cluster statistics calculation. These changes improve the usability and robustness of the visualization functionalities.
visualizationflexiblepythonkeplertda
yt-project/yt
Mar 2014 - Jan 2015
Main yt repository
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:22 commits in 9 months
Contributions summary:Gabriel primarily contributes to the development of the yt library, with a focus on the OWLS (OverWhelmingly Large Simulations) project. Their contributions involve adding features to read and process OWLS data, including element mass fractions and ion abundances. They also work on smoothing particle fields and setting up aliases, demonstrating a focus on data analysis and visualization.
pythondatafinite-element-analysisgeophysicsnuclear-engineering
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