#002
US Citizen
Cloud Pipeline Architect
MS Computer Science
GitHub Audited by STL-BCB
MVC Compliant
Privacy Protocol: Direct repository links are withheld to protect candidate identity. Code samples available upon interview request.
Technical Stack
Python
Nextflow
Docker
AWS
Kubernetes
Snakemake
Domain Expertise
Genomics
Cloud Infrastructure
Pipeline Development
Professional Summary
Cloud infrastructure specialist with deep experience building production-grade bioinformatics platforms. Proven track record deploying Nextflow pipelines at scale on AWS and GCP. Strong background in cost optimization and resource management for genomic workloads.
Technical Capabilities
Cloud Architecture
- Designed cloud-native platform processing 10TB+ genomic data daily
- Implemented auto-scaling Nextflow executors on AWS Batch and Kubernetes
- Cost optimization expertise: reduced compute spend by 40% through spot instances
Pipeline Engineering
- Creator of reusable Nextflow modules adopted by 3 research institutions
- Experience with both Nextflow and Snakemake workflow managers
- Automated testing and CI/CD for pipeline deployments
Domain Knowledge
- Genomics: WGS, RNA-seq, single-cell analysis pipelines
- Infrastructure: AWS, GCP, on-premise HPC integration
- DevOps: Terraform, GitHub Actions, monitoring with Grafana
Education
Master of Science in Computer Science
Saint Louis University, 2022
Verification Status
This candidate has been verified by the STL Bio-Compute Collective:
- GitHub repository audit: Passed
- Containerization check: Dockerfile + Docker Compose present
- Workflow manager: Nextflow + Snakemake confirmed
- Code reproducibility: Comprehensive documentation
Interested in this Candidate?
Reference ID: #002
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