Chimezie Ogbuji
Deputy Administrator And Chief Medical Informatics Officer
Beachwood, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolChimezie Ogbuji is an experienced enterprise architect and informatics leader with over 16 years delivering software, data integration, and clinical informatics solutions, currently serving as Deputy Administrator and Chief Medical Informatics Officer at Amara HomeCare Services. He combines deep expertise in relational, ontological, and XML data modeling with practical skills in XSLT optimization, large-scale migrations, and web UI architectures, bridging clinical workflows and technical systems. As owner of Metacognition, he brings two decades of consulting and product-building experience, applying expert-system thinking to bioinformatics and data visualization challenges. An active practitioner in ML tooling, he has contributed enhancements to LLM fine-tuning and deployment in the MLX framework, including parameterized training and LoRA YAML support—illustrating a hands-on approach to modern AI integration. Based in Beachwood, Ohio, he pairs academic grounding from UIUC and CWRU with a track record of turning complex data standards into operational clinical technology.
16 years of coding experience
East Brunswick Grammar SchoolPart-time Ph.D Student, Part-time Ph.D Student at Case Western Reserve University (CWRU)University of Illinois Urbana-Champaign
English, German, Igbo
Github Skills (10)
lora10
machine-learning10
lm10
large-language-models10
python10
llm10
apidoc9
yaml9
api9
huggingface-transformers8
Programming languages (4)
Github contributions (5)
ml-explore/mlx-examples
Dec 2023 - Mar 2025
Examples in the MLX framework
Role in this project:
ML Engineer
ML EngineerContributions:21 reviews, 17 PRs, 79 comments in 1 year 3 months
Contributions summary:Chimezie focused on enhancing the MLX framework's capabilities for large language model (LLM) fine-tuning and deployment. They implemented parameterized loss and batching to the trainer, enabling more flexible training configurations. Furthermore, they introduced YAML configuration for LoRA, allowing for more streamlined and flexible training parameters. The user also contributed to the integration of features such as logprobs and few-shot examples to the completion API.
mlx
RDFLib/FuXi
Dec 2009 - Jan 2012
Chimezie Ogbuji's FuXi reasoner. NON-FUNCTIONING, RETAINED FOR ARCHIVAL PURPOSES. For working code plus version and associated support requirements see:
Contributions:60 commits, 1 comment in 2 years
json-ldjsonldlinked-datasemanticsplus
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