Brandon Hill
Machine Learning Scientist at Dartmouth Hitchcock Medical Center and Clinics
Lebanon, New Hampshire, United States
Summary
🤩
Rockstar🎓
Top SchoolBrandon Hill is a machine learning scientist and performance-first engineer with over two decades of experience building high-performance systems, from VR medical simulators to supercomputing and ultra-low-latency NIC compilers. He led core engineering at H2O.ai, helping build one of the fastest open-source distributed ML platforms and contributing backend improvements to the widely used h2o-3 project. Brandon has a track record of turning algorithmic research into production impact—cutting prediction times from minutes to seconds at StreamMosaic and delivering multi-million dollar savings in deployed systems. Now based in New Hampshire, he co-founded Dartmouth’s Center for AI Research in Orthopaedics to move clinical ML from prototypes into clinicians’ hands. He combines deep systems and compiler expertise with hands-on ML productionization, making him especially adept at data ingestion, memory-efficient pipelines, and real-time inference. An understated strength is his history of building domain-specific languages and compilers, which informs his knack for squeezing performance from complex stacks.
11 years of coding experience
16 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Purdue UniversityBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Old Dominion University
Github Skills (12)
text-manipulation10
javas10
strings10
data-parsing10
datatypes10
java10
csv-parse9
csv-parsing9
file-handling8
file-processing8
fileio8
file-access8
Programming languages (5)
Github contributions (5)
h2oai/h2o-3
Jul 2014 - Feb 2016
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:528 commits, 1 PR, 600 pushes in 1 year 7 months
Contributions summary:Brandon appears to be a back-end developer contributing to the H2O-3 project, as the commits focus on improving the parsing of different file formats and supporting various functionalities. Their work involves modifying the Java-based parsing system by implementing improvements for handling string columns and data types, indicating a focus on data ingestion and preprocessing. They also worked on the conversion of string to integer, ensuring it's done correctly. The contributions demonstrate the user's involvement in enhancing the core data processing capabilities of the project.
xgboostgampythonk-meansautoencoders
cairo-lab/pyOAI
Apr 2021 - Feb 2025
Contributions:31 pushes, 1 branch, 1 comment in 3 years 10 months
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