Joey Curtis is a Senior Engineering Manager who blends 11 years of hands-on sensor, robotics, and ML engineering with recent leadership of cloud infrastructure and voice-based healthcare ML at Kintsugi. Trained as a nuclear and robotics engineer at UC Berkeley, he built deployable multi-sensor platforms that fuse gamma-ray, lidar, camera, and IMU data for real-time mapping and anomaly detection in government and research settings. He has led teams of engineers and scientists to architect containerized, distributed systems—using Terraform on GCP, Docker, MLflow, and CI/CD—to accelerate prototyping into production for demanding edge and cloud environments. Technically fluent across Python, C++, ROS, PyTorch and TensorFlow, he also optimized on-device inference for NVidia Xavier platforms and maintained large-scale deployment tooling with SaltStack and GitHub/GitLab pipelines. Passionate about mentorship and software craftsmanship, he emphasizes documentation, testing, and reproducible ML workflows while teaching colleagues the self-taught skills that shaped his career. Outside of the lab he’s an outdoors enthusiast who channels the same systems-level thinking into cycling, running, and planning technical adventures.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Nuclear Engineering, Bachelor of Science (BS), Nuclear Engineering at University of California, Berkeley
Contributions:2 PRs, 112 pushes, 4 branches in 7 years 11 months
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Joey Curtis - Senior Engineering Manager at Kintsugi