Lim Hoang
Founder & CTO at RevenueCat
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLim Hoang is a software engineer with 13 years’ experience building production-ready data and ML tooling, currently based in London and focused on helping people and businesses get more value from AI. He’s worked across startups and tech leaders—including Inflection AI, Meta, and RevenueCat—and founded A3 Studio to build AI apps and agents. Lim contributes to prominent open-source projects like Kedro and Kedro-Viz, where he improved Spark test stability and backend pipeline visualization, showing a strong MLOps and systems-testing mindset. With a master’s in computer science from Georgia Tech and a background that spans data engineering, backend systems, and product-focused ML infrastructure, he blends deep technical rigor with practical delivery. Notably, he often tackles brittle test and deployment issues that quietly improve team velocity and reliability.
13 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of TechnologyMathematics, Computer Science, Mathematics, Computer Science at Worcester Polytechnic InstituteBachelor's degree, Information Technology, Bachelor's degree, Information Technology at RMIT University
English, Vietnamese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
api-rest10
fastapi10
spark10
python10
back-end-development10
api-design10
apidoc10
restful-api10
testing10
pyspark10
api10
rest-api10
data-visualizations9
pytest9
data-visualisation9
Programming languages (11)
Github contributions (5)
kedro-org/kedro-viz
Apr 2020 - Jun 2022
Visualise your Kedro data and machine-learning pipelines and track your experiments.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 328 reviews, 90 commits in 2 years 1 month
Contributions summary:Lim primarily contributed to the back-end logic of the project, focusing on calculating and returning layer ordering to the front-end. They modified existing mock data and integrated the layer order calculation server-side based on dependencies. Additionally, the user parameterized the `run_viz` function and added an endpoint for querying pipeline-specific node details, enhancing the visualization capabilities of the tool. They also worked on fixing issues related to parameter loading.
experiment-trackingpythonreactkedro-plugindata-science
kedro-org/kedro
Feb 2020 - Jan 2022
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Role in this project:MLOps Engineer
MLOps EngineerContributions:46 reviews, 120 commits, 30 PRs in 1 year 11 months
Contributions summary:Lim primarily contributed to the testing and maintenance of Spark-related components within the Kedro data science toolbox, focusing on addressing issues related to Spark test database initialization and ensuring test stability. They refactored and improved the testing infrastructure, including adding fixtures for test database creation and cleaning. Furthermore, the user addressed code quality and build environment by resolving an environment variable issue within the project.
experiment-trackingpythonsciencepipelinedata-science
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