Atlas Deep Geo draws on an extended team of engineers who spent their careers building the large-scale production systems — including the seismic processing platforms — major operators have depended on for decades. They built those systems from the ground up. That same discipline and domain depth is what they bring to every Atlas Deep Geo engagement.
Production seismic software is unforgiving. Algorithms that work in a research notebook have to work on thousand-job clusters, across diverse compute environments, day after day without intervention.
The engineers below have spent their careers building production software to exactly that standard, and bring that discipline directly to the software that runs the ORCA reconstruction pipeline.
Ed Young brings more than two decades of experience building and automating large-scale production software systems. His career has centered on the platform engineering that lets complex systems run reliably at scale — from the data and developer platforms behind high-traffic consumer services to the embedded device software he worked on earlier in his career.
Ed's focus is the discipline of software delivery: continuous-delivery architecture, infrastructure automation, and the tooling and test-and-deployment pipelines that keep complex systems shipping predictably. He brings that platform discipline to Atlas Deep Geo — strengthening the compute and data infrastructure behind the company's seismic-reconstruction software so demanding workflows run consistently across diverse environments.
Barry Fish brings extensive experience in seismic processing algorithm implementation, execution-logic design, and core-module engineering. His career has been defined by an ability to take complex geophysical algorithms — often originating in research environments — and translate them into efficient, production-grade implementations that geophysicists rely on daily.
His deep involvement in execution-logic architecture has shaped how processing modules interact, how data flows through systems, and how computational resources are managed. New algorithms integrate cleanly without disrupting what already works.
Dave Diller's influence on seismic processing software has been quiet, steady, and foundational. As a systems architect, Dave didn't just write code — he envisioned how entire processing environments should function. The modular flow structures, flexible parameter systems, and extensible algorithm frameworks that geophysicists have relied on for decades were the result of deliberate engineering choices he helped make real.
His most enduring contributions lie in execution logic — how processing sequences are built, how new algorithms are added without breaking existing ones, and how systems scale without losing coherence. Dave's rarest strength was his ability to bridge two worlds — the practical needs of geophysicists and the structural demands of software engineering — shaping an engineering discipline that carried teams and systems forward for decades.