Summary
Nadezhda Sorokina is a Senior Software Engineer with five years of experience building cloud-native genomic data pipelines and high-performance bioinformatics tooling. She specializes in Python and Nextflow to orchestrate scalable, reproducible workflows, and routinely optimizes memory and compute through partitioned processing and multiprocessing. At EPAM she designed large-scale Nextflow pipelines, developed modular Python CLIs, and deployed solutions on AWS with Docker and GitLab CI/CD, cutting memory usage and improving throughput for multi-terabyte datasets. With formal training in biotechnology (MEng) and hands-on work parsing genomic and mass-spectrometry data, she bridges molecular biology and engineering to deliver actionable platforms. She also mentors junior developers, leads technical interviews, and contributes to a personal project cataloging ribozymes and riboswitches, reflecting a research-minded approach to applied software.
4 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Biotechnology, Bachelor of Engineering - BE, Biotechnology at Saint Petersburg Chemical Pharmaceutical Academy
Master of Engineering - MEng, Biotechnology, Master of Engineering - MEng, Biotechnology at ITMO University
English, Russian