Phillip Leblanc
Co-Founder And CTO at Spice AI
Seoul, South Korea
Summary
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Rockstar🎓
Top SchoolPhillip LeBlanc is a Co-Founder and CTO with eight years of professional experience building large-scale distributed systems, cloud identity, and developer tooling. He led teams at Microsoft and GitHub before founding Spice AI to make cloud and edge AI easy and cost-effective for product teams. Technically hands-on, Phillip contributes to open-source projects like Apache DataFusion and maintains core backend and DevOps work in the Rust-based spiceai engine, including gRPC integration and edge runtime robustness. Based in Seoul, he blends systems-level engineering with product-minded leadership to ship reliable data and AI infrastructure. Notably, his background in high-performance computing research and enterprise cloud identity gives him a strong foundation for tackling both performance and security challenges in AI deployments.
8 years of coding experience
12 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Louisiana State University
c#, c, c++, java
Stackoverflow
256reputation
12kreached
1answer
0questions
Github Skills (22)
fusion10
go10
sql10
query-engine10
rust10
mysql9
testing9
dockers9
cicd9
docker9
grpc8
apache-arrow8
data-set7
artificial-intelligence7
data-model7
Programming languages (20)
Github contributions (5)
spiceai/spiceai
Aug 2021 - Jan 2023
A portable accelerated data query and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:23 releases, 2739 reviews, 116 commits in 1 year 5 months
Contributions summary:Phillip primarily focused on enhancing the core functionality of the SpiceAI engine, introducing features such as a "single run" mode for end-to-end testing and integrating the CartPole environment for testing and development. The user also contributed to the codebase by addressing issues related to edge runtime environments and ensuring proper handling of manifest deletions. Moreover, the user demonstrated experience in DevOps by working on the CLI, refactoring and incorporating the usage of GRPC for communication between the components.
pythondata-sciencedeep-learningreinforcement-learningmachine-learning
apache/datafusion
Mar 2024 - Mar 2025
Apache DataFusion SQL Query Engine
Role in this project:Backend Developer
Backend DeveloperContributions:101 reviews, 19 PRs, 95 comments in 11 months
Contributions summary:Phillip primarily focused on refactoring and enhancing the SQL query engine. Their contributions involved renaming classes and modifying code related to data sinks. They also implemented unparsing for `UNION ALL` operations and addressed MySQL-specific behavior. The user's work demonstrates a solid understanding of the project's core functionality and SQL unparsing implementation.
querypythonquery-enginedataframerust
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