Ben Sabath
Boston, Massachusetts, United States
Summary
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SeniorBen Sabath is an HPC-focused software and data engineer with 11 years of experience building scalable distributed systems for scientific research and AI. Currently a Member of Technical Staff at Microsoft AI, he has led AI/ML infrastructure and LLM training pipelines at Harvard’s Kempner Institute and modernized cloud-first data platforms managing 1.5 PB of research data. He excels at bridging scientists and engineers—designing end-to-end statistical pipelines, optimizing GPU-based ML workloads across clusters, and mentoring teams on CI/CD and best practices. Notable achievements include deploying molecular docking across hundreds of instances to cut runtimes from hours to minutes and implementing graph-based models for historic data discovery. Based in Boston, he combines hands-on systems engineering (Slurm, Kubernetes, Terraform, CUDA, Ray) with a practical focus on delivering research value and cost-efficient cloud operations. Collected across academia and industry, his background uniquely positions him to solve life-sciences and research computing problems at scale.
11 years of coding experience
Github Skills (46)
postgresql9
simulation9
missing-data9
linear-models9
file-transfer9
regression-models8
statistics8
exposure8
r-package7
visualization7
distributed-computing7
data-journalism7
census7
tidymodels6
gpu6
Programming languages (9)
Github contributions (5)
NSAPH/airpred
Nov 2017 - Apr 2020
Contributions:184 commits, 4 PRs, 3 pushes in 2 years 6 months
KempnerInstitute/tatm
Oct 2024 - Mar 2025
Python Package for the Kempner AI Testbed
Contributions:28 reviews, 61 PRs, 80 pushes in 4 months
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