Yevhen Bobrov

• Saved 6-figure $ in compounding annual costs by tracing non-optimal usage of cloud object storage containing a hundred billion entities and migrating it to binary serialization protocol (Avro). • Reduced the infrastructure costs of a high-load image recognition pipeline to 30% of the baseline by re-architecting, planning, and executing a migration to the new architecture across multiple tech stacks (C#/Python) • Built highly scalable and fault-tolerant migration tool to move large-scale datastore, containing hundred billion records, between cloud providers, which helped to reduce respective infrastructure costs 5x • Increased quality and development speed of front-end features by improving ergonomics of TypeScript integration with Redux, which raised type-safety to 100% and led to a 70% reduction of boilerplate code required for feature implementation • Improved user satisfaction of the product's core feature by refactoring implementation (JavaScript/React/Redux) of the major feature update attempt, previously failed due to a critical design flaws and code quality issues • Trained five engineers on principles and techniques of evolutionary design while building together essential product features using full-time remote pair programming • Delivered internal workshop on software development best practices