Sergei C.

My longest client has been with my team for 7 years and over $1M of continuous development. Another project started as a $7K MVP and grew into a $70K product — because it was architected to survive success from day one. I'm Sergei — founder and CTO of a senior engineering team that designs and builds AI-powered SaaS platforms: multi-tenant architecture, AI agents, and the unglamorous production infrastructure that keeps them alive under real users. Here's the uncomfortable truth about how founders usually find me: I'm the second team they hire. Recently a client brought us a "finished" AI SaaS platform before launch. Our architecture audit found 4 critical blockers and 11 high-risk issues the previous team had left behind — each one cheaper to fix on paper than in production. Cheap code isn't cheap. It's a mortgage you didn't know you signed. WHAT I ACTUALLY DO 1) AI SaaS Product Engineering Multi-tenant platforms with AI agents built in — not bolted on. My rule: LLMs go where they create value users pay for; deterministic, testable code goes everywhere else. That discipline is the difference between an AI demo and an AI product. 2) Architecture Audits & Production Rescues A fixed-price, fixed-scope review of your codebase before launch or investment: architecture assessment, risk register, production-readiness score, and a prioritized roadmap. You own the report whether or not we continue together. This is the single highest-ROI engagement I offer — every hour of audit saves 10–20 hours of rework. 3) Long-Term Product Development (T&M) For founders who want a technical team that thinks in years, not sprints. Time-and-materials with full transparency: you see who works on what, at which rate, every week. Fixed-price rewards vendors for cutting corners you won't see for months; T&M rewards us for exactly one thing — keeping you happy enough to continue. Our 7-year client relationship exists because of this model, not despite it. HOW THE TEAM WORKS You'll be working with me directly on architecture and key decisions — and with my senior engineers on delivery, at rates below mine, with full visibility into who does what. You get founder-level attention with team-level throughput. I personally review the architecture of everything we ship. I build for non-technical founders deliberately. You're an expert in your domain — you shouldn't need to learn what a message queue is to make good decisions. Every technical choice comes to you as a business decision: what it costs, what it risks, what it unlocks. STACK (the boring part) Python, Node.js, React/Next.js, PostgreSQL, Redis, AWS, Docker, CI/CD. AI: Claude & OpenAI APIs, RAG pipelines, multi-agent orchestration, evaluation and guardrails for production LLM systems. NEXT STEP If you're building an AI SaaS product — or rescuing one — message me with a short description of where you are. If there's a fit, we'll start with a 15-minute call, and usually from there with an Architecture Audit: fixed price, fixed timeline, a report you keep either way.