Jeff Rose
Founder, CTO at Spatial Logic
Boulder, Colorado, United States
Summary
🤩
RockstarJeff Rose is a founder and CTO with 17 years building ML-driven systems that bridge computer vision, geospatial data, and real-world sensing to create searchable, interactive 3D digital twins. He has a track record of launching and scaling ventures—from early embedded OS and perception work at DeepMind to founding consultancies that spun out multiple companies and secured patents. At Spatial Logic he leads R&D and product vision for a next-generation platform using Gaussian splatting and semantic scene understanding to make the built environment queryable by software. Jeff pairs hands-on engineering (contributions to ML and tooling projects in Clojure and Bayesian optimization stacks) with operational experience delivering multimillion-dollar programs for clients like Maxar and the NGA. Colocated in Boulder, he favors solving practical problems, shipping production software, and building teams that enjoy tackling hard systems challenges together. An understated strength is his ability to move research ideas into deployable platforms and incubate them into independent businesses.
17 years of coding experience
11 years of employment as a software developer
English, Italian, Spanish
Stackoverflow
859reputation
63kreached
11answers
2questions
build-automation
top-5%
build-process
top-5%
Github Skills (39)
matrix10
python10
clojure-cli10
testing10
machine-learning10
autoencoder10
clojure10
mat10
supercollider10
backpropagation10
devops10
clojurescript10
visualization9
visualizations9
build-automation9
Programming languages (14)
Github contributions (5)
originrose/cortex
Jan 2015 - Aug 2017
Machine learning in Clojure
Role in this project:
ML Engineer
ML EngineerContributions:40 commits, 3 PRs, 17 pushes in 2 years 7 months
Contributions summary:Jeff's commits focused on implementing and refining an autoencoder model within the Clojure-based machine learning framework. They added visualizations to monitor the model's performance and enhanced the system's support for rug-dr. Furthermore, the user made adjustments to the matrix layout to ensure compatibility with the dataset, demonstrating a clear effort to integrate the model into the project's existing data structures. They also introduced backpropagation and evaluation functionality.
clojuremachine-learning
overtone/overtone
Sep 2009 - Dec 2012
Collaborative Programmable Music
Role in this project:Backend Developer
Backend DeveloperContributions:655 commits in 3 years 4 months
Contributions summary:Jeff focused on improving the build process and implementing Leiningen support in the Overtone project. They experimented with OSC for peer communications but determined that it wasn't a good fit. The code changes also included the implementation of methods for writing audio to a disk file and reading the values.
musiccollaborativeprogrammable
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