Vladislav Savelyev
Senior Software Engineer at AstraZeneca
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolVladislav Savelyev is a senior software engineer with 14 years of experience building cloud-native, scalable genomics and bioinformatics platforms from research pipelines to production infrastructure. He combines backend engineering and DevOps expertise—working with Python, Spark, Kubernetes, GCP and infra-as-code—to ship fault-tolerant systems such as Hail, MultiQC and large-cohort processing frameworks used by centres like gnomAD. Vladislav has driven both developer-facing tooling (hailctl, Seqera Hub) and clinical-grade pipelines that shortened turnaround from months to weeks, and he maintains Bioconda packages and modules widely used across the community. Based in Barcelona, he now focuses on AI agents for oncology R&D, blending domain knowledge in variant analysis and cloud infra with recent work in LLM-powered workflow assistants. An under-the-radar strength is his knack for improving CI/CD and deployment ergonomics—small changes that materially speed collaboration and reproducible science.
14 years of coding experience
11 years of employment as a software developer
St. Petersburg Academic University of the Russian Academy of SciencesBachelor of Science (BSc) Computer Software Engineering, Bachelor of Science (BSc) Computer Software Engineering at ITMO University
English, Russian
Github Skills (24)
hail10
data-visualizations10
docker10
variants10
package-management10
python10
conda10
bash10
data-visualisation10
dockers10
cicd10
vcf-files10
gcp10
dataproc10
bioinformatics10
Programming languages (23)
Github contributions (5)
MultiQC/MultiQC
Oct 2017 - Apr 2022
Aggregate results from bioinformatics analyses across many samples into a single report.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 releases, 383 reviews, 109 commits in 4 years 6 months
Contributions summary:Vladislav primarily contributed to the `multiqc/multiqc` repository by modifying and enhancing existing modules, including those related to bioinformatics analysis and data visualization. The commits focused on improving data processing and reporting, particularly for tools such as bcl2fastq, Samtools, QUAST, Preseq, and QualiMap, indicating a focus on back-end functionality. The user also introduced a new mosdepth module, suggesting an expansion of the tool's capabilities in the area of coverage analysis.
multiqcpythonpypianalysesbioconda
bioconda/bioconda-recipes
Jun 2017 - Jan 2021
Conda recipes for the bioconda channel.
Role in this project:DevOps Engineer & Package Maintainer
DevOps Engineer & Package MaintainerContributions:22 commits, 49 PRs, 30 pushes in 3 years 8 months
Contributions summary:Vladislav primarily contributed to maintaining and updating recipes for the Bioconda channel. Their work involved upgrading existing packages like `r-mutationalpatterns`, adding new recipes for tools such as `break-point-inspector` and `hmftools`, and updating dependencies. They also made adjustments to build scripts, testing procedures, and file structures within the recipes. The user's changes ensured the recipes function correctly within the Bioconda environment.
recipescondabiocondabioinformaticspackage-management
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