About

I've worked on quantitative modeling for clients like GM and ExxonMobil. That ranged from building and managing 48 nameplate econometric models and condensing them into a single executive summary, to measuring and optimizing media effectiveness across 13 global CPG markets.

That experience shaped how I work now. Every project I deploy follows the same approach: identify a real gap, scope the solution, pick the right tools, and manage the build to production. I’m most effective when I can take an idea from nothing to a working system — and I’ve done that multiple times with Riffd (a full-stack audio analysis platform), Argus (a real-time OSINT pipeline), and Job Scanner (an LLM-powered job automation tool).

I scope the architecture, manage the build, and own the product decisions. I work across the full stack — from data pipelines and model integration to frontend interfaces and deployment — and I deploy fast.

Get in touch at dylanglatt@gmail.com or find me on LinkedIn.