Volodymyr Lyubinets
CTO at Stealth AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolVolodymyr Lyubinets is a technical founder and CTO with 12 years of experience building production AI and data systems, currently leading Espa, an AI assistant that automates inbox, calendar, and task follow-through. He was the first engineering hire at Forethought, helping scale agentic AI across customer support stacks and later managing teams that shipped customer-specific features and new product v0s. Earlier roles at Databricks, Facebook, and LinkedIn reflect deep backend and data engineering chops—he contributed notable performance work to Apache Spark and authored the widely used spark-avro connector. A Waterloo CS alum who competed on ACM ICPC and Putnam teams, he combines algorithmic rigor with pragmatic product delivery. He mixes hands-on coding (Scala, backend systems, serialization and IO optimizations) with company-building instincts, moving ideas from prototypes into deployed services. Based in San Francisco, he pairs open-source contributions to high-profile projects with startup leadership experience.
12 years of coding experience
10 years of employment as a software developer
EPFLLviv Physics and Mathematics LyceumBachelor, Computer Science, Bachelor, Computer Science at University of Waterloo
English, Ukrainian, Russian, Polish
Stackoverflow
598reputation
357kreached
12answers
6questions
Github Skills (19)
apache-spark10
avro10
spark10
data-engineering10
big-data10
data-serialization10
java10
scala10
serialization10
javas10
sql10
unit-testing9
jdbc9
parquet8
kryo7
Programming languages (6)
Github contributions (5)
databricks/spark-avro
Jan 2015 - Dec 2016
Avro Data Source for Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 commits, 23 PRs, 12 pushes in 1 year 11 months
Contributions summary:Volodymyr primarily contributed to the development of an Avro data source for Apache Spark. Their work involved adding support for new datatypes, implementing conversion functions, and addressing review comments to refine the code. They also focused on fixing bugs and writing tests to validate the functionality of the Avro integration. Additionally, the user made improvements to handle nullable fields and ensure correct data handling.
avroavro-datadata-sourceapachebig-data
apache/spark
Mar 2015 - Apr 2015
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 PRs, 28 comments in 1 month
Contributions summary:Volodymyr primarily contributed to the backend functionality of Apache Spark, focusing on SQL and data processing. Their work included adding features such as the `equals` method to the `Column` class and fixing a filesystem bug within the `newParquet` relation. They also addressed JDBC connection properties and optimized the codebase by implementing Kryo-based serialization.
analyticspythondata-processingsqlapache
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.