Vadim Kharitonov is a technology leader with 11 years of experience who moves between hands-on engineering and product-focused technical management to simplify complex systems and accelerate company growth. Currently a Member of Technical Staff at Databricks after leading product engineering at Neon, he has practical experience building and improving backend and database tooling—including contributions to the well-known Neon serverless Postgres project. He organizes engineering vision and backlog work, leads a team of technical product managers, and enjoys seeing measurable product and team transformations from strategic technical initiatives. Vadim’s background includes leading engineering organizations at PandaDoc and Wargaming and earlier competitive computer science experience, which informs his pragmatic, results-driven approach. He holds an MBA in IT management and pairs that business perspective with deep engineering instincts, often focusing on developer productivity and reliability. Colleagues describe him as someone who deliberately hides system complexity behind platforms so engineers can deliver faster and bolder.
11 years of coding experience
13 years of employment as a software developer
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Белорусский государственный технологический университет
Master of Business Administration - MBA IT-management, Master of Business Administration - MBA IT-management at City Business School
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
Role in this project:
Back-end Developer & Database Engineer
Contributions:568 reviews, 32 commits, 233 PRs in 6 months
Contributions summary:Vadim contributed to the Neon database project by implementing new functionality for the `neon_local` utility, specifically adding a status handler for the pageserver. They also made improvements to the testing infrastructure, addressing return value checks in unit tests for the `seqwait.rs` module and enforcing stricter mypy linters. Furthermore, the user integrated Sentry error tracking into the storage broker and fixed Sentry versioning. Several commits focused on improving compute tools, including fixes for monitoring and the addition of a function to retrieve the number of CPUs.
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
Contributions:19 pushes, 10 branches in 3 months
neonserverlessautoscalingofferpostgres
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Vadim Kharitonov - Member Of Technical Staff at Databricks