About Me

I'm Jonathan Muhire, previously co-founder at Neotix where we built infrastructure for robotics data collection and embodied AI systems. I'm passionate about creating the foundation that enables robots to understand and interact with our physical world through continuous learning.

Background

I hold a dual degree in Computer Science (BS) and Artificial Intelligence (MS), which has given me a strong foundation in both theoretical and practical aspects of building intelligent systems. My work sits at the intersection of robotics, machine learning, and distributed systems.

Current Focus

I'm currently exploring multimodal fusion techniques for robust embodied AI, with a particular interest in:

• Curriculum learning for robotic manipulation
• Synthetic data augmentation for sim-to-real transfer
• Scalable data infrastructure for robotics
• Real-time teleoperation and imitation learning

Projects & Experience

My recent work includes developing teleoperation systems for bimanual manipulation, building data extraction pipelines for visual SLAM, and creating version-controlled infrastructure for large-scale robotics datasets. I've worked with various robotic platforms including MyCobot, UMI, and LeRobot.

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 .