Joseph Min
Infrastructure Engineer at Arc Institute
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJoseph Min is an infrastructure-focused software engineer with nine years of experience building cloud-native pipelines and production orchestration for computational biology and analytics. He holds an MS from MIT and a BS from Caltech, and has driven large-scale ETL, NGS, and analysis execution pipelines on AWS and Airflow across roles at Ginkgo Bioworks, Haus, and research labs. At Ginkgo he climbed from intern to technical lead, improving throughput and reliability for thousands of daily jobs, and at Haus he designed a customer-facing “landing zone” that enforces data quality and provides actionable feedback. Now based in Mountain View, he blends deep bioinformatics domain experience with practical infrastructure engineering, often working at the intersection of research-scale datasets and production systems. Notably, his academic work includes tooling for single-cell and spatial transcriptomics and handling terabyte-scale multimodal data in distributed environments.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Massachusetts Institute of TechnologyCalifornia Institute of Technology
English, Korean
Github Skills (82)
python10
spatial-transcriptomics10
seq10
etl10
automation10
mlops10
orchestration10
gff10
computational-biology10
python-scripts10
openapi10
kallisto10
next-generation-sequencing10
data-engineering10
scheduler10
Programming languages (9)
Github contributions (5)
Lioscro/kallisto
Jan 2020 - Jan 2022
Near-optimal RNA-Seq quantification
Contributions:18 releases, 28 pushes, 1 branch in 2 years
bioinformaticsrna-seqseqquantificationoptimal
Lioscro/ngs-tools
Apr 2021 - Jan 2023
Reusable tools for working with next-generation sequencing (NGS) data
Contributions:1 review, 165 commits, 62 PRs in 1 year 9 months
next-generation-sequencing
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