Daniel Goldstein
Senior Software Engineer at Temporal Technologies
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Goldstein is a software engineer with nine years' experience building scalable, cloud-native infrastructure and data platforms, currently improving reliability and security on Temporal Cloud. He spent several years on the Hail team at the Broad Institute, where he helped make petabyte-scale genomic analysis serverless and fast—work that included sub-80ms container startup tuning, IaC for GCP/Azure deployments, and production monitoring. Daniel contributes to open-source big-data tooling (notably hail-is/hail), adding block-matrix algebra and robustness improvements that enable distributed scientific workloads. He combines low-level performance optimization (container runtimes, C++/Scala/Python stacks) with developer-facing infrastructure, and has mentored students and domain scientists to ship meaningful features. Based in Boston, he brings a hands-on blend of research experience (msprime, tskit) and production engineering that bridges genomics, distributed systems, and cloud platforms.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at Northeastern UniversityHigh School, High School at Robbinsville High School
English, Hebrew, Spanish
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (13)
hail10
python10
scala10
big-data9
datastructures-algorithms8
genomics8
algorithms8
bioinformatics8
algorithm8
data-structures8
data-structure8
servicenow-rest-api6
azure6
Programming languages (8)
Github contributions (5)
hail-is/hail
Jan 2019 - Jan 2023
Cloud-native genomic dataframes and batch computing
Role in this project:
Backend Developer
Backend DeveloperContributions:2332 reviews, 517 commits, 1110 PRs in 4 years 1 month
Contributions summary:Daniel contributed to the codebase by adding a user to the users list, updating dev setup documentation, implementing error handling for invalid input, and adding a BlockMatrix IR. The user also implemented element-wise binary operations for blockmatrices and contributed to the addition of a block matrix to table relational function for entries. These changes demonstrate the user's focus on adding new features and functionality to the project.
cloud-nativedataframedataframesgeneticsvcf
daniel-goldstein/hail
Jan 2019 - Jul 2024
Scalable genomic data analysis.
Contributions:78 PRs, 3232 pushes, 999 branches in 5 years 7 months
scalabledata-analysispythonpipelinegenomic-data-analysis
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