Julia Volmer is a Core Software Engineer with 8 years of experience building reliable, high-performance systems across databases, distributed computing, and graph analytics. Currently at ArangoDB she architected a lightweight graph analytics product in Rust that cut implementation time for new algorithms by two-thirds and boosted test coverage to production-grade levels. Her background in computational physics and a doctorate in theoretical and mathematical physics inform a data-driven, algorithmic approach—evident in prior work that produced a 6x runtime reduction for lattice gauge computations. She brings hands-on expertise in C++, Rust, Elixir, parallel and distributed systems, and legacy modernization, and has improved developer productivity by modernizing core build systems. An active contributor to the ArangoDB codebase, she has focused on fixing data races, optimizing performance, and hardening storage and serialization paths. Colocated in the Cologne–Bonn region, she favors pair programming, TDD, and short feedback cycles to align engineering work tightly with stakeholder needs.
8 years of coding experience
7 years of employment as a software developer
Dr. rer. nat., Theoretical and Mathematical Physics, magna cum laude, Dr. rer. nat., Theoretical and Mathematical Physics, magna cum laude at Humboldt University of Berlin
Master of Science - MS, Physics, sehr gut, Master of Science - MS, Physics, sehr gut at The University of Bonn
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
Contributions:266 reviews, 166 commits, 214 PRs in 10 months
Contributions summary:Julia primarily worked on back-end code, focusing on fixing data races and optimizing performance within the ArangoDB codebase. Their contributions involve modifying code related to transaction states, pregel worker status reporting, and improvements to pregel algorithms. The user also made changes to improve the data loading process, as well as the storage backend and implemented serialization/deserialization features.
Contributions:96 commits, 31 pushes, 3 branches in 1 year 7 months
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