Kenny Dizi
Software Engineer Expert at SpaceXAI
Ho Chi Minh City, Vietnam
Summary
👤
Senior🎓
Top SchoolKenny Dizi is a Software Engineer Expert and machine learning/solution architect with over a decade of experience building AWS serverless and microservices systems and production GenAI applications. He has led engineering teams and startups, architecting high-availability systems using AWS CDK, DynamoDB single-table designs, Lambda optimizations, and vector DBs for RAG workflows. Currently at xAI, he designs rigorous evaluations and benchmarks for state-of-the-art coding models, while earlier roles include heading engineering teams and founding a startup in Ho Chi Minh City. An active open-source contributor and top-four contributor to projects like QodoAI’s PR-Agent, Kenny combines hands-on backend improvements (bug fixes, enums, prompt rendering) with system-level design and technical leadership. He holds a master’s in computer science, a project management certificate, and a knack for translating complex ML research into production-ready services.
10 years of coding experience
10 years of employment as a software developer
Project Management Institute Certificate Project Management, Project Management Institute Certificate Project Management at FMITBachelor of Engineering Degree Computer Science, Bachelor of Engineering Degree Computer Science at Danang University of Science and TechnologyMaster's degree Computer Science, Master's degree Computer Science at University of Information Technology
Github Skills (5)
openai10
python10
pullrequest9
gpt8
code-review8
Programming languages (13)
Github contributions (5)
The-PR-Agent/pr-agent
Jul 2023 - May 2025
🚀 PR Agent: The Original Open-Source PR Reviewer. This project is not the Qodo free tier.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 reviews, 39 PRs, 161 comments in 1 year 10 months
Contributions summary:Kenny primarily contributed to the `pr-agent` project by fixing bugs and improving code quality related to f-string expressions and conditional logic within the `pr_reviewer` and `pr_description` tools. They refactored code to use enums and constants, improving readability and maintainability. Additionally, the user added support for new OpenAI models and improved prompt rendering for different flows within the application.
openaipull-requestpull-requestscoding-assistantdevtools
AI4Organization/langfuse-deployment-cdk
Jan 2024 - Dec 2025
Deploy Langfuse to ECR and ECS with Fargate and AWS CDK.
Contributions:4 reviews, 16 PRs, 16 pushes in 1 year 11 months
aws-cdk
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