About Me

I'm Jonathan Muhire, a software R&D and ML researcher focused on deep learning systems, multimodal research, and data infrastructure. Public implementation work is available on GitHub , and professional background details are listed on LinkedIn .

Background

I studied Computer Science and Artificial Intelligence across BS and MS programs, with work focused on practical ML systems and research tooling. My current focus sits at the intersection of ML research, deep learning, and distributed systems.

Current Focus

I'm currently exploring multimodal modeling techniques for robust ML systems, with a particular interest in:

• Multimodal representation learning
• Data-centric AI and synthetic augmentation
• Scalable data infrastructure and dataset versioning
• Efficient training and evaluation pipelines

Projects & Experience

My recent public work includes document-layout and OCR experiments, NLP crisis-signal prototypes, and dataset-versioning workflows for robotics/ML data.

• RenAIssance (document AI)
• ISSR (NLP prototype)
• MinIO + LakeFS workflow
• ArtExtract (CV experiments)

Get in Touch

I'm always excited to discuss robotics, AI infrastructure, or potential collaborations. Feel free to reach out via email or connect with me on LinkedIn .