Summary
Aleksandr Tanas is a senior software developer based in Tbilisi with two decades of experience building bioinformatics pipelines and scientific applications using Nextflow, TypeScript, Python, C#, and .NET. He combines hands-on bioinformatics research (PhD-level experience and Yandex School training) with production engineering—designing NGS lab information systems, high-performance data schemas, and visualization tools integrating Mol* and NGL. At Datagrok he improved rendering performance and implemented robust testing and database optimizations; now at EPAM he focuses on Nextflow/Metaflow pipelines and active learning for biological data. Comfortable across Linux server administration, distributed storage (Ceph), Docker, and REST APIs, he bridges wet-lab methods to scalable software—an often-overlooked strength that helps turn experimental protocols into reproducible, performant pipelines.
10 years of coding experience
19 years of employment as a software developer
High School Diploma, Electrical and Electronics Engineering, Specialist, High School Diploma, Electrical and Electronics Engineering, Specialist at Magnitogorsk State Technical University named after G.I. Nosov (MSTU)
Bioinformatics, Bioinformatics at Yandex School of Data Analysis
Doctor of Philosophy - PhD, Biology/Biological Sciences, General, Doctor of Philosophy - PhD, Biology/Biological Sciences, General at Research Centre for Medical Genetics