Matthias Van De Meent
Member Of Technical Staff at Databricks
Enschede, Overijssel, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolMatthias Van De Meent is a seasoned database and backend engineer with 12 years of experience, currently a Member of Technical Staff at Databricks and a long-time contributor to the PostgreSQL Global Development Group. He helped build Neon’s serverless Postgres features—separating storage and compute, optimizing WAL handling, prefetch concurrency, and shrinking metrics bloat—bringing practical performance and reliability improvements to a high-profile open-source cloud database. Based in Enschede, Netherlands, he combines deep systems-level expertise in databases, indexing and data structures with hands-on engineering across storage, sync, and runtime components. Notably, his work often focuses on subtle but high-impact optimizations (correct metrics, concurrency fixes) that materially improve large-scale storage systems.
11 years of coding experience
7 years of employment as a software developer
Computer Technology/Computer Systems Technology, Computer Technology/Computer Systems Technology at University of TwenteVWO, VWO at Ubbo Emmius
Stackoverflow
56reputation
400reached
4answers
0questions
Github Skills (16)
databases10
rust10
postgresql10
database10
serverless9
system-design8
sys8
software-design8
lua6
kubernetes6
html6
amazon-web-services6
jquery-mobile6
geolocation6
cordova6
Programming languages (14)
Github contributions (5)
neondatabase/neon
Oct 2021 - Jan 2023
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
Back-end Developer & Database EngineerContributions:29 reviews, 48 commits, 7 PRs in 1 year 3 months
Contributions summary:Matthias's contributions primarily focus on the development and maintenance of the Neon serverless Postgres database. They worked on extracting the WalProposer into a Neon extension, enhancing its functionality, and improving the handling of WAL records. Additionally, they addressed critical metrics bloat within the storage sync process, optimizing performance. Furthermore, the user contributed to the prefetch mechanism, improving its concurrency and reliability, and optimized the system to improve performance by ensuring the use of correct and accurate metrics.
neonrustserverlessautoscalingoffer
MMeent/Connection
Jan 2015 - Jan 2015
Contributions:51 pushes, 1 branch in 18 days
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