Summary
Alex Braun is a principal ML engineer and 3D reconstruction specialist with 12+ years of experience building production computer vision systems and the bare-metal MLOps infrastructure that runs them. He blends deep learning (generative models, CNNs, GNNs) and procedural 3D modeling with hands-on distributed systems work—authoring pipelines on Kubernetes, Dask, Kubeflow and private render farms for VFX and medical imaging. Comfortable across a dozen languages, Alex has published multiple Python packages and still explores functional programming in Haskell, reflecting a pragmatic but curious engineering style. He moved from a career in special effects into AI, where he excels at turning complex visual problems into scalable pipelines and graph-informed 3D data systems. Currently focused on graph-based 3D reconstruction for construction and ontologically-driven video systems, he combines research-level interests (category theory, directed graphs) with production-grade delivery.
12 years of coding experience
8 years of employment as a software developer
Data Science Immersive Data Science, Data Science Immersive Data Science at Galvanize - San Francisco, SoMa
Couple classes here and there, Couple classes here and there at Gnomon
BFA Computer Animation, BFA Computer Animation at College for Creative Studies
Self Study Statistics Combinatorics and Machine Learning, Self Study Statistics Combinatorics and Machine Learning at Udacity