Albert Lockett
Principal Engineer at F5
Quebec, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolAlbert Lockett is a Principal Engineer with 11+ years building cloud-native, data-intensive systems and leading cross-functional teams across startups and enterprise firms. He brings hands-on expertise in systems languages (Rust, Go), JVM/JS stacks, and cloud platforms (AWS/GCP, Kubernetes, Terraform), and currently contributes to otel-arrow at F5 from the Office of the CTO. His recent backend work on LanceDB and FrostDB shows deep familiarity with database internals—indexing, query planning, and metrics APIs—helping bridge developer ergonomics and production reliability for vector and columnar stores. A practiced full-stack engineer, he pairs observability tooling (Prometheus, Grafana, OpenTelemetry) with pragmatic SRE and architecture experience from Sonrai and solo.io. Based in Quebec, he combines consulting-bred discipline with startup velocity and a knack for turning complex storage and telemetry challenges into usable APIs.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science in Engineering Computer Engineering, Bachelor of Science in Engineering Computer Engineering at University of New BrunswickHarbour View High School
Stackoverflow
204reputation
16kreached
4answers
12questions
Github Skills (18)
databases10
vector-database10
go10
api10
rust10
database10
data-structure9
data-structures9
apollo6
css6
gcc6
criteria-api6
selenium-webdriver6
assembly6
cassandra6
Programming languages (10)
Github contributions (5)
lancedb/lancedb
Oct 2023 - Apr 2025
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 95 reviews, 93 PRs in 1 year 5 months
Contributions summary:Albert contributed to the development of data statistics APIs, adding functionality to retrieve statistics about fragments, deleted rows, and indexed rows within the LanceDB tables. They introduced a new `VectorIndex` struct and added methods to load and interact with indices, which are crucial for the database's functionality. The contributions focused on expanding the API surface of the database by integrating metrics retrieval and index management features, demonstrating an understanding of database internals. This work extends the core functionality of LanceDB, allowing users to query and retrieve the statistics.
approximate-nearest-neighbor-searchimage-searchnearest-neighbor-searchrecommender-systemsearch-engine
polarsignals/frostdb
Apr 2022 - Jun 2022
❄️ Coolest database around 🧊 Embeddable column database written in Go.
Role in this project:Backend Developer
Backend DeveloperContributions:15 reviews, 5 commits, 13 PRs in 2 months
Contributions summary:Albert primarily focused on enhancing the functionality and robustness of the `frostdb` database. Their contributions involved addressing critical issues, such as fixing schema-related errors during table writes and implementing configuration options for table indexing and splitting. Furthermore, the user refactored the query engine by ensuring that the schema used for query execution is correctly retrieved from the logical plan, which improved the engine's flexibility. The user also implemented validation rules for the logical plan, increasing the stability of the query engine.
golangembedded-databaseolapcolumnar-storagenosql-database
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