The team
A small, senior, AI-native team where every member has built and shipped real product, not just managed it. Backgrounds across hyperscale silicon, large-account enterprise, fintech, and applied AI research.
Who builds it
He assembled this team, and the client relationships behind it.
Three-time founder. He spent three years embedded at Ampere Computing, a semiconductor company building Arm processors for hyperscale cloud and AI, which taught him what it takes to operate inside an engineering-heavy organization. As CEO he treats go-to-market as an engineering problem: systems that compound, not campaigns that expire.
B.S. Business Management & Leadership, Portland State University
An enterprise operator who knows that moving technology forward is a people game.
Abraham's background is in IT infrastructure, built across multiple tech startups and seven years at AT&T running technology implementations on the Intel and Nike accounts. That taught him what it really takes to move a client project forward: it's a people game, and moving the ship means moving the people, not just the systems. He runs technical delivery for every engagement.
Chapter Lead, Portland Metro, The AI Collective
Selected from 13,000 applicants for Anthropic's Built with Claude program.
A senior AI engineer and full-stack architect with over a decade of production experience across AI/ML, fintech, and energy. He has built production AI platforms on AWS Bedrock, Claude inference, RAG pipelines, and multi-agent orchestration. At Homebase he built Instant Cash-Out serving 100,000+ hourly workers and cut dashboard load time from 3 seconds to 500ms.
B.S. Computer Software Engineering, Western Governors University
A published AI researcher who ships production systems daily.
A research-grade ML engineer who also ships. He has published peer-reviewed AI research, built RAG systems over 1,000-page technical corpora, deployed LLM tool-calling pipelines on AWS Bedrock, and engineered anomaly-detection models with SHAP explainability. He ranked 35th globally in the ISIC 2024 Kaggle competition.
B.S. Computer Science, FAST National University
A Portland full-stack engineer who embeds with clients and ships AI into live operations.
Jacob leads our forward-deployed engineering, embedded with enterprise clients to build and deploy AI systems directly into their operations. He is a full-stack engineer across React, Node, Rails, and Python, and an AWS-certified cloud practitioner. His work spans engagements from a regulated-utility observability platform to Rivus's Carlos lead-to-close system, and his Spanish supports client work across the US and Mexico.
Portland State University
A data scientist who ships production tools in days, not sprints.
Maira moves fast. She built our internal meeting scheduler, a Calendly-style tool with Google Workspace sync deployed on Firebase, in three days, and works across client AI from Rivus's Carlos sales system to its WhatsApp assistant. She spans the full stack, from the data and models to the UI.
National University of Computer and Emerging Sciences
We embed inside your building, run discovery with your domain experts, and build the data layer and the agents on top of it. The people you meet on the discovery call are the people writing the code, and we stay through the outcome.
Why Nebula
“Nebula represents a place in space where the birth of stars happens. We focus on a business's North Star, and build the path to get them there.”
Shawn Reddy, CEO & Founder
“The numbers are very good. This is something the customer is adopting. What I am expecting is exponential growth, 10x. Results are results. Numbers don't lie.”
“You changed our lives. It was a mess for two years and no one could fix it. No one.”
“Turned our event outreach from manual chaos into a multi-channel machine. Signups jumped 25% in the first month.”
Work with us
No account managers between you and the people doing the work. Start with a discovery session.
