Eugene Tolbakov
Vice President Of Engineering at JPMorgan Chase & Co.
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolEugene Tolbakov is a Vice President of Engineering based in London with a decade of experience building cloud-native back-end systems and data platforms. He brings hands-on expertise in Rust and Java, contributing to open-source projects like GreptimeDB and Quickwit where he tackled core database and observability engine internals such as storage refactors, table creation fixes, retry logic, and tracing integration. Prior roles span fintech at JPMorgan Chase, cloud and data engineering at The Hyde Group, and long-term Java development at DataArt, demonstrating a mix of leadership and deep implementation skills. Trained as a microwave antennas and semiconductors master's graduate, he pairs strong systems thinking with practical low-level engineering—which shows up in his willingness to dive into mutable vector internals and storage variants.
10 years of coding experience
10 years of employment as a software developer
Saint Petersburg State Electrotechnical University "LETI"
Github Skills (25)
search-engine10
admin10
back-end-development10
distributed-tracing10
databases10
time-series10
database-administration10
aws10
sql10
rust10
cloud-native10
database10
tantivy9
open-source9
storage9
Programming languages (12)
Github contributions (5)
GreptimeTeam/greptimedb
Feb 2023 - Mar 2023
An open-source, cloud-native, unified observerability database for metrics, logs and events, supporting SQL/PromQL/Streaming. Available on GreptimeCloud.
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:161 reviews, 7 commits, 41 PRs in 1 month
Contributions summary:Eugene primarily contributes to the back-end development of GreptimeDB, focusing on database-related functionalities. Their work includes refactoring and enhancing existing code, such as improving mutable vector methods and removing unused variants in storage. They also implemented fixes and enhancements related to table creation procedures and data type handling. The user demonstrates proficiency in Rust and interacts with core database components.
time-series-databaseseries-databaserustsqltimeseries-database
quickwit-oss/quickwit
Oct 2023 - Sep 2024
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
Role in this project:Back-end Developer
Back-end DeveloperContributions:35 reviews, 16 PRs, 2 pushes in 11 months
Contributions summary:Eugene primarily contributed to the back-end logic and infrastructure of the Quickwit search engine. They focused on implementing retry logic for AWS interactions, modifying the object storage interface to utilize retry mechanisms, and refactoring various components. Additionally, the user addressed the implementation of Jaeger tracing, incorporating new endpoints and refining existing codebase to support trace visualizations within Grafana. Furthermore, the user implemented the respect for format parameters in range queries.
analyticsrustlog-analyticslog-managementlogging
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