About

Engineering Intelligence. Delivering Results.

At Jstar Tech Consulting, we believe that the gap between a good idea and a great product is often a matter of process, precision, and the right technology. That’s where we come in.

What Sets Us Apart

Most consultants bring theory. We bring battle-tested experience from the inside of some of the world’s most demanding engineering environments.

At Amazon, Jos led quality engineering strategy for a 100M+ customer global platform — coordinating across teams in North America, South America, Europe, and Asia Pacific to deliver reliable, scalable systems under intense pressure. He didn’t just advise — he built the mechanisms that made it possible, including an AI-powered automation server that saved over $2M per year in engineering costs and was adopted across Amazon’s entire QA organization.

At Sony, Jos serves as the architect of an organization-wide quality engineering strategy, embedding automated validation directly into the software delivery pipeline and establishing governance frameworks approved at the architectural leadership level. The result is a system that catches defects earlier, reduces risk at every release, and gives engineering leadership real-time visibility into product health — all without slowing teams down.

This is the kind of thinking we bring to every client engagement.

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What We Help You Build

Whether you’re integrating AI into an existing product, building a new intelligent system from scratch, or trying to scale an engineering team without sacrificing quality — we’ve done it at scale, and we know what works. Our consulting is grounded in three things:

1. AI That Actually Works in Production

From integrating frontier models like ChatGPT (OpenAI) and Claude (Anthropic) to deploying open-weight models like LLaMA, Mistral, and Falcon in private, cost-efficient infrastructure — we design AI solutions with real-world constraints in mind. Whether your project calls for a managed cloud API or a fully self-hosted, on-premise model tailored to your data and compliance requirements, we select and integrate the right model for the job. Not demos. Deployable, maintainable, scalable systems built for production from day one.

2. Engineering Velocity Without Compromise

We implement CI/CD frameworks, automated testing strategies, and quality gating systems that let your team move fast and ship with confidence. The same infrastructure patterns used at Amazon and Sony, tailored to your scale.

3. Strategy That Sticks

We don’t hand you a document and walk away. We design processes, tools, and frameworks that your team can own and grow with — including training, governance, and adoption plans built for real engineering teams.

Trusted by Teams At

Amazon  ·  Sony  ·  City National Bank  ·  Edmunds  ·  American Honda  ·  IBM Global Services  ·  and more

Credentials

🏅 AWS Certified Cloud Practitioner (2025–2028) — View Credential

🎓 B.A., Business Administration — Operations & Management Information Systems
University of Southern California, Los Angeles, CA

Ready to build something intelligent?