NAZO ANALYTICS
AI systems for difficult, high-consequence problems
Nazo Analytics is an independent technical advisory and research practice. I help founders, executives, investors, and technical teams determine whether ambitious AI ideas can become reliable systems—particularly when the data are complex, the phenomena are physical, or the cost of getting the answer wrong is high.
What Nazo does
Technical diligence and executive advisory
Independent evaluation of model claims, data readiness, architecture, technical risk, and product feasibility.
AI architecture and roadmap design
Concrete plans for multimodal AI, scientific ML, computer vision, sensor systems, LLMs, and agentic workflows.
Research and prototype sprints
Bounded experiments that retire technical risk before a team commits major engineering or investment capital.
Research-grade depth, applied judgment
My background spans computational astrophysics, defense and national-security AI, field-deployed machine learning, MLOps, startup technical leadership, scientific computing, and original research.
The common thread is turning technically ambiguous systems into evidence, architecture, and decisions that leadership can act on.
Selected writing
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Building Realistic Galaxy Simulations with Cursor: Initial Conditions, N-Body Simulation Techniques, and the Limits of AI Coding
From the Milky Way’s disc, bulge, and dark matter halo to an equilibrium NFW model: distribution functions, orbit sampling, Barnes-Hut gravity, symplectic integration, and multi-node CPU scaling.
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Vision Transformers Down Memory Lane (Part 2)
In my last post, I looked at a few different techniques using visual transformers architectures to create representations of my photography. In particular, using DINOv2. August was a very busy travel month for me. I had the time to do a lot of new photography, including in my home city of Austin. This inspired me…
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Vision Transformers Down Memory Lane (Part 1)
An Amateur Photographer’s Problem In 2022, I picked up photography as a hobby. I was traveling a lot for work, and wanted a way to remember the places I went. Looking at my own photography takes me back to the moment I captured the picture, and is fun to do over a beer. However, as…
Start with the decision
The best Nazo engagements begin with a consequential technical decision: build, invest, acquire, partner, redesign, or stop.