Senior engineering, fast delivery.

We build software and AI-enabled systems that help teams ship.

We help product teams ship software and intelligent features that work in the real world. From backend systems and quantitative models to AI-enabled features, we prototype quickly, iterate with users, and turn promising ideas into maintainable systems. Our background spans finance, simulations, machine learning, and modern AI tooling, which lets us move quickly without sacrificing technical depth.

Good fit: founders and product teams who need senior engineering judgment, fast prototyping, and dependable delivery. Also a fit for teams integrating LLM features who want prototypes that can mature into maintainable systems.

What we build and improve

We work at the intersection of backend systems and modern AI. Engagements usually fall into one of three categories, depending on what your team needs most right now.

Product Systems with AI

Build or extend software products where backend architecture, data models, and AI components fit together cleanly. This includes new products, major features, or focused technical rewrites.

  • Backend APIs, data modeling, and system design
  • LLM integrations and retrieval-backed features
  • From fast prototype to production-ready system

LLMs Inside Real Workflows

Use large language models to improve real workflows, not as standalone demos, but as components inside systems people rely on daily.

  • Integration patterns that work in existing codebases
  • Evaluation, iteration, and guardrails where needed
  • Human-in-the-loop design for higher reliability

Senior Engineering Leverage

Join your team temporarily to unblock architecture, improve system clarity, and accelerate delivery on critical initiatives.

  • System architecture and technical direction
  • Quantitative and model-driven thinking where relevant
  • Execution support that raises the bar for the whole team

Selected work

Representative work and recent artifacts.

  • Apps: Tarot app for iPhone and iPad, built in Swift.
  • Assistants: purpose-built GPTs for interviewing, structured reasoning, and decision support.
  • Writing: notes on building with large language models, simulations, and production software.

Tell us what you want to build, what is slowing the team down, and what success looks like. The clearer the problem, the faster we can move.