Alexander Schepanovski is a pragmatic software developer and architect with 15 years of experience building data-driven systems, web applications, and ML tooling from concept to production. He helped develop DVC at Iterative and architected Iterative Studio, contributing backend, DB design, and core refactors that improved data/version handling and test quality. Comfortable across Python, Node.js, Cython and databases (Postgres, MongoDB), he has a track record of performance tuning—e.g., dramatically reducing MongoDB query counts and migrating large apps to PostgreSQL with FTS. As a former lead developer and cofounder, he pairs hands-on coding with hiring, interviewing, and technical leadership. He favors laconic, well-documented solutions and is especially passionate about algorithms, data and natural language—often retaining subtle user metadata and formatting when refactoring tooling. Based in Bangkok, he brings a mathematician’s rigor (MS in Mathematics) to pragmatic engineering decisions.
14 years of coding experience
17 years of employment as a software developer
Master of Science (MS), Mathematics, Master of Science (MS), Mathematics at Siberian Federal University (former Krasnoyarsk State University)
Contributions:28 reviews, 184 commits, 138 PRs in 3 years 1 month
Contributions summary:Alexander primarily focused on refactoring and improving the core codebase by retaining formatting and comments within .dvc files. They addressed several bugs related to file opening, character encoding, and stage metrics, while also adding meta keys to store user data. Additionally, they contributed to test suite enhancements, introducing Pytest-like tests and commonly used fixtures.
A slick ORM cache with automatic granular event-driven invalidation.
Contributions:10 reviews, 1043 commits, 84 PRs in 11 years 1 month
pythondjangocachinggranularinvalidation
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