You vibe-coded your AI product and it works. But it's running on infrastructure no one audited, with security no one tested, and cloud costs no one modeled. 12 years of implementation and architecture design experience across Fortune 500 data centers, HIPAA hospital networks, and country wide 5G cellular infrastructure. I advise founders on what to fix, what to prioritize, and how to architect for scale before it's too late.
AI coding tools let non-technical founders ship MVPs in weeks. But the code they generate has no awareness of network topology, load balancing, DNS, firewall rules, secrets management, CI/CD pipelines, or compliance requirements. The app runs — until real users, real traffic, or a real attacker shows up. That's where 12 years of DevOps and network security engineering comes in.
Your AI app is live with zero security review. I assess your auth flows, secrets management, API exposure, input validation, and payment handling — then give you a prioritized list of what to fix and how, using the same methodology applied across enterprise HIPAA hospital networks.
Your tools picked your cloud services. I tell you if they're right. I evaluate your traffic patterns, hosting topology, DNS, CDN, edge caching, and load balancing strategy — then recommend the architecture changes needed to handle real scale.
No deployment pipeline means every push is a prayer. I advise on CI/CD design, environment separation, rollback strategy, and testing workflows — giving you or your dev team a clear blueprint to ship with confidence instead of crossing fingers.
Your AI calls cost real money and you have no usage caps, no metering, and no cost projections. I assess your unit economics, recommend spend guardrails, and advise on infrastructure design so a traffic spike doesn't bankrupt you overnight.
A project that would have taken a team of engineers. User acquisition, authentication, billing, entitlement enforcement, AI orchestration, and delivery all run through software-enforced flows. No manual provisioning, no human in the loop. So not only do you get access to a staff that has done everything you are experiencing first hand, but also is an expert in the pieces nobody else sees.
AI products have a unique security problem: every request costs real money. That means security isn't just about keeping hackers out — it's about making sure no one can run up your bill, steal your API keys, or trick the system into doing something it shouldn't.
The simplest security principle: fewer moving parts means fewer things that can break. I kept the system small on purpose.
AI models produce text, but the product needed structured data it could display and build on. Models don't always return what you ask for, so I built a validation layer that catches bad output and recovers gracefully instead of crashing.
Every AI request costs money. Without guardrails, a spike in traffic or a single abusive user could run up thousands in inference costs overnight. I built usage tracking and spending limits directly into the core request flow, not as an afterthought.
As users explored deeper, the AI needed to remember what it had already covered and build on it — not start from scratch every time. I designed the system to carry context forward so it feels like one continuous thought process.
There's no ops team, no on-call rotation, no one monitoring dashboards at 2am. Every infrastructure choice was made to eliminate the need for ongoing human attention. The platform runs itself.
The initial product tried to serve too many types of users. A tighter focus on one specific audience would have made the marketing clearer, the onboarding simpler, and the first version faster to ship.
I had enough monitoring to keep the system running, but not enough to understand how people were actually using it. I'd add analytics and funnel tracking from day one next time.
The system could handle different AI models, but the wiring wasn't clean enough to swap providers in minutes. I'd build that flexibility as a formal layer upfront, so changing models or pricing is a config change, not a code change.
I focused on building a rock-solid product first, which was the right call. But I should have given equal attention to onboarding, activation, and conversion tracking earlier instead of treating growth as a later problem.
I review your current stack, hosting setup, security posture, and deployment workflow. You walk away knowing exactly where you're exposed and what to prioritize.
A prioritized action plan covering security hardening, cloud architecture, CI/CD setup, cost modeling, and scaling strategy — specific to your app and your traffic.
As you scale, I stay on call — reviewing infrastructure decisions, monitoring cost trends, and making sure your DevOps and security posture keeps pace with growth.
A non-technical guide to the infrastructure you didn't know you had. 8 chapters covering databases, authentication, hosting, load balancing, serverless, CI/CD, monitoring, and DNS — with real scenarios from AI founders and self-check questions you can answer right now.
Senior infrastructure architects are among the most competitive hires in tech. Most AI founders can't afford one full-time — and don't need to. Advisory gives you direct access to the same caliber of expertise, on your timeline, without the overhead of a full-time salary, benefits, or equity.
You get strategic guidance on exactly the decisions that matter: architecture, security posture, cost modeling, and scaling — when you need it, not on a permanent payroll.
Every engagement starts with a free 30-minute infrastructure review. Choose the depth that fits where you are.
Run your own infrastructure audit using a structured intake prompt. Get a templated findings summary — automated, with light review — so you know exactly where you stand before investing more.
The core offer. Two dedicated 30-minute calls — one to audit your stack conversationally, one to walk through findings — with a full branded report and written follow-up action items delivered after each session.
Ongoing strategic advisory as your infrastructure evolves. Monthly architecture reviews, quarterly reassessments, vendor evaluation support, and an optional weekly call for teams moving fast.
For founders who need more than advice — you need someone building alongside you. This engagement provides 10 hours per week of hands-on implementation work: hardening infrastructure, standing up pipelines, configuring architecture, and executing the roadmap. Scope is defined upfront via a Statement of Work contract before engagement begins.
I advise a select number of clients. Join the waitlist for a free 30-minute infrastructure review — I'll tell you exactly what's exposed and what to fix first.