Matvey Arye is a Principal Engineer and founding engineering leader at Timescale with 13+ years of experience building high-performance distributed systems, databases, and networking solutions. He leads Timescale’s developer platform for AI, authored core features of TimescaleDB (partitioning, compression, incremental materialized views) and spearheads pgvectorscale—an open-source PostgreSQL vector index that outperforms Pinecone on latency and throughput. A Princeton PhD whose research tackled cross-continental data analysis and bandwidth-aware stream processing, he combines rigorous academic insight with product-minded engineering. His contributions to Promscale and the Time Series Benchmark Suite show a consistent focus on practical backend optimizations and real-world benchmarking. Based in Paris, he’s equally at home drafting patents, speaking at conferences, and shipping production-grade database innovations that power AI workloads.
12 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.Sc.) Engineering, Bachelor of Science (B.Sc.) Engineering at The Cooper Union for the Advancement of Science and Art
Stuyvesant High School
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Princeton University
[DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
Contributions:23 releases, 1048 reviews, 621 commits in 2 years 9 months
Contributions summary:Matvey made significant contributions to the Promscale project by implementing essential infrastructure components for managing SQL functionality and series data. Their work involved adding a SQL script handling system and a supporting procedure for managing database chunks and series, indicating a focus on database design and backend development. The user further optimized the database operations through series creation and performance enhancements for existing queries.
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
Role in this project:
Back-end & DevOps Engineer
Contributions:12 commits in 4 years 1 month
Contributions summary:Matvey primarily focused on enhancing the time series benchmark suite, `tsbs`. Their contributions included integrating support for the `iobeamdb` database within the benchmark suite, involving modifications to data generation, query generation, and loading scripts. They also implemented bug fixes and improved the overall functionality of the benchmark's various components, particularly scripts. The user's work is crucial for the benchmark's ability to evaluate and compare `iobeamdb` performance against other time series databases.
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