AWS Solution Architect LLMOps GenAI Engineer at AI4Organization
Ho Chi Minh City, Vietnam
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Summary
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Senior
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Top School
Kenny 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 QodoAIโs PR-Agent, Kenny combines hands-on backend improvements (bug fixes, enums, prompt rendering) with system-level design and technical leadership. He holds a masterโs 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 FMIT
Bachelor of Engineering Degree, Computer Science, Bachelor of Engineering Degree, Computer Science at Danang University of Science and Technology
Master's degree, Computer Science, Master's degree, Computer Science at University of Information Technology
๐ PR-Agent (Qodo Merge open-source): An AI-Powered ๐ค Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! ๐ป๐
Role in this project:
Back-end Developer
Contributions:29 reviews, 39 PRs, 160 comments in 1 year 7 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.
Contributions:4 releases, 4 reviews, 58 PRs in 7 months
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Kenny Dizi - AWS Solution Architect LLMOps GenAI Engineer at AI4Organization