Asha Rostamianfar
Principal Cloud & Software Architect at Tahoe Therapeutics
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolAsha Rostamianfar is a Principal Cloud & Software Architect with 11 years of experience building large-scale cloud, data and ML infrastructure across biotech and cloud platforms. She has led engineering teams from hands-on technical work to VP-level leadership at Deep Genomics, and now shapes architecture and delivery at Tahoe Therapeutics. Her background includes scaling bioinformatics pipelines at Color—designing Toil/CWL systems that handled 15k+ concurrent cores—and contributing upstream fixes and cloud enhancements to the popular Toil workflow engine. Prior roles at Google involved cloudifying genomics tooling and leading platform efforts for biomedical products, demonstrating a consistent focus on reproducible, production-grade computational biology. Known for bridging software engineering, DevOps and data science, she combines deep distributed-systems expertise with practical experience optimizing AWS credentials, IAM, S3 lifecycle and container workflows.
10 years of coding experience
16 years of employment as a software developer
MSc Computer Science Computational Biology, MSc Computer Science Computational Biology at University of TorontoThornhill Secondary SchoolBSE Computer Software Engineering, BSE Computer Software Engineering at University of Waterloo
Github Skills (11)
docker10
aws10
python10
dockers10
cicd9
cloud-services8
workflow-engine8
cloud-infrastructure8
kubernetes8
kubernetes-pods8
back-end-development8
Programming languages (4)
Github contributions (5)
DataBiosphere/toil
Jan 2019 - Nov 2020
A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:2 reviews, 45 commits, 61 PRs in 1 year 10 months
Contributions summary:Asha primarily focused on improving the Toil workflow engine's functionality and maintainability. They fixed bugs, added features like the `--no-read-only` option to the CWL runner and support for custom docker commands, and improved AWS credential handling. Furthermore, they added documentation, and addressed infrastructure-related issues, such as S3 bucket deletion optimization and IAM role configurations, showing a focus on cloud-related aspects of the project.
pythoncommon-workflow-languagemesosawsslurm
arostamianfar/toil
Jan 2019 - Nov 2022
A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
Contributions:306 pushes, 49 branches in 3 years 10 months
scalablepythonworkflow-enginelinuxbinaries
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