Jonathan Muhire

Founder @ Neotix · Robotics Data Infrastructure

Projects
Building data collection pipelines for robotics companies - processing high-volume sensor streams, cloud-based annotation, and human-in-the-loop validation
AWS S3 SAM2 DINO SLAM ORB3 Minio LakeFS
LeRobot-based system for robotic data collection and teleoperation experiments
Python LeRobot Teleoperation
Extracting SLAM trajectories from robotic demonstrations for Universal Manipulation Interface
SLAM Python Trajectory Processing
S3-compatible object storage deployment for robotics data management
Minio S3 Object Storage
Real-time robot vision system using Modal-hosted SmolVLA inference with local camera input
Python Computer Vision Modal
Web-based simulation platform for multi-robot systems with configurable presets and analytics
TypeScript React Simulation
AI-powered behavioral analysis for mental health crisis detection with geospatial trend analysis
Python ML Geospatial
Research
Technical architecture for scalable robotics data collection infrastructure
On challenges and approaches in large-scale robotics data acquisition
Benchmarking framework for embodied AI systems
Dexterous control systems for robotic manipulation
Dexterous manipulation benchmarks and datasets
Interactive simulacra of human behavior
Morphology-aware Kinyarwanda language model
Benchmarking cross-lingual text classification for Kinyarwanda
Kinyarwanda NLP models and speech systems
Machine translation systems for Rwandan languages
Mathematical reasoning and problem-solving models
LK-99 and ambient-pressure superconductivity claims
Novel algorithms for underrepresented languages
Extreme quantization in language models
Demystifying neural network operations
Adaptive computation during model inference
Optimization techniques for large model deployment
Comprehensive overview of transformer applications
Reading
Leopold Aschenbrenner on AGI timelines and implications
On independent thinking and value formation
Ben Kuhn on developing deep conviction in your work
Ben Kuhn on choosing impactful work
David Deutsch on explanations that transform the world
Paul Graham on startup growth strategies
Sam Altman's career advice for young people
On avoiding career stagnation through comfort
Marina Keegan's essay on connection and possibility
On effective work vs suffering for its own sake
Epsilon Theory on societal trust erosion
Profile of the Anduril founder and defense innovation
America's position in the new labor economy
Stephen Wolfram's technical deep dive into LLMs
CS Lewis on social exclusion and ambition
GPS
Bartosz Ciechanowski's interactive explainer
Asimov's short story on entropy and existence
Analysis of Chinese AI model architectures
Tyler Cowen on the art of inquiry
Self-directed CS curriculum guide
Adventures of a curious character
Albert Camus on existentialism and absurdity
On shared experiences and diverging paths
Rethinking our perception of time
Influences
Eric Jang
1X · Humanoid robotics
Andrej Karpathy
Neural networks · GPT series
Amanda Askell
Anthropic · AI alignment
George Hotz
comma.ai · Hacker culture
Sam Zeloof
Garage semiconductors
Palmer Luckey
Anduril · Defense tech
Vitalik Buterin
Ethereum · Crypto philosophy
Alexander Wang
Scale AI · Data infrastructure
Greg Yang
xAI · Research foundations
Ben Kuhn
Anthropic · Technical writing
Chip Huyen
ML systems · Production ML
Seth Goldin
Philosophy · Tech criticism
Rob Henderson
Troubled · Social psychology
Jonathan Bi
Philosophy series · YouTube
Eric Torenberg
a16z · Venture capital
Podcasts
Machine Learning Street Talk
Deep technical ML discussions
Dwarkesh Patel
Long-form interviews with builders
Lex Fridman
AI, science, and philosophy
Manifold
Prediction markets and rationality
Acquired
Tech company deep dives
The Diary of a CEO
Entrepreneurship and mindset
Background
Oklahoma Christian University · Accelerated BS/MS in CS & AI Systems
Bridge2Rwanda · Gap Year Scholar
Collège Saint André · High School
Location · Oklahoma City / Kigali
Resources
Michael Nielsen's interactive book on neural networks
Implementation guides for key ML papers
Stanford's course on transformer architectures
Karpathy on the importance of fundamentals
Crowdsourced list of internship opportunities
Meta's foundation model for image segmentation
Building and deploying ML applications
Tim Dettmers on LLM quantization
AI agent for autonomous code generation