Achraf Merzouki
Senior Manager, Lead Software Engineer at H2O.ai
Greater Ottawa Metropolitan Area Canada
Summary
🤩
Rockstar🎓
Top SchoolAchraf Merzouki is a seasoned software leader with six years of progressive engineering and management experience, currently serving as Senior Manager and Lead Software Engineer at H2O.ai in the Greater Ottawa area. He has advanced through technical and managerial roles at H2O.ai since 2019, combining hands-on engineering with delivery ownership for AI-focused products. Prior to H2O.ai he built solid SQA and development experience at Akamai and Solacom, grounding his leadership in rigorous testing and integration practices. Achraf contributes to high-profile open-source tooling such as h2oai/h2ogpt, where he strengthened build, CI/CD and test automation to improve deployability and maintainability. He is comfortable working across DevOps, release engineering and backend systems, and brings a pragmatic focus on making complex ML systems reproducible in production. Colleagues describe him as a practical problem-solver who elevates team workflow through automation and infrastructure improvements.
6 years of coding experience
13 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Computer Engineering, Bachelor of Engineering (B.Eng.) Computer Engineering at Université du Québec en Outaouais
English, French, Arabic
Github Skills (15)
docker10
pytest10
dockers10
build-automation10
cicd10
testing10
package9
setuptools9
python9
packaging9
github-ci8
githubaction-workflow8
ai7
llm7
gpt7
Programming languages (7)
Github contributions (5)
h2oai/h2ogpt
Apr 2023 - Oct 2024
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Role in this project:
DevOps Engineer & Build/Release Engineer
DevOps Engineer & Build/Release EngineerContributions:64 reviews, 118 PRs, 206 pushes in 1 year 6 months
Contributions summary:Achraf primarily focused on enhancing the repository's build and testing infrastructure. Their commits added support for Jenkins, Docker builds, and improved the test execution process by integrating pytest markers and configuring the test environment. They also made changes to the packaging and dependency management, indicating a focus on automating builds, releases, and ensuring the project's testability and deployability. These contributions streamline the development workflow and improve the project's overall maintainability.
aichatgptembeddingsgenerativegpt
h2oai/vllm
Jun 2024 - Oct 2024
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:9 PRs, 35 pushes, 18 branches in 3 months
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