01 · Fragility
The Fragility Problem
Anyone can build a prompt wrapper. Few can prevent prompt injection, drift, and unexpected user outputs.
Production-grade AI engineering
Moving AI from fragile prototype to production-grade reality.
Bridges the gap between AI hype and engineering discipline. With 20 years of full-stack, database, and scaling experience, I build resilient AI integrations and high-performance applications that handle real-world traffic.
The reality of production AI
Three failure modes that kill AI features before they scale.
02 · Scale
The Scaling Bottleneck
AI features are useless if your database locks up, your frontend lags, or your token costs spiral out of control.
03 · Observability
The Blind Spot
If your AI fails silently in front of a client, how long until you notice? Without deep observability, you're flying blind.
The antidote
Services built for teams shipping AI under real load.
Vibe Shield (AI Safety & Alignment)
Hardening LLM integrations against prompt injection, malicious inputs, and toxic outputs. Bulletproofing your AI UX.
High-Performance Frontend & UI
Building blazing-fast, responsive, and deeply accessible user interfaces backed by two decades of frontend mastery.
App Scaling & Architecture
Auditing and rebuilding database schemas, implementing caching layers, and structuring apps to gracefully scale under heavy load.
Observability & Deep Telemetry
Setting up end-to-end tracing and monitoring so you can track LLM latencies, costs, and failures before your users do.
Team Training & Upskilling
Transitioning traditional software teams into AI-native engineers through hands-on workshops on modern frameworks and integration patterns.
Why 20 years matters
You aren't hiring an overnight AI hobbyist.
You are hiring 20 years of foundational software engineering expertise spanning frontend, deep backend architecture, database optimization, and cloud infrastructure — applied to the volatile world of AI.
- FrontendPerformance budgets, accessibility, design systems, and UI that survives enterprise traffic spikes.
- BackendSchema design, caching strategy, queue architecture, and APIs that don't buckle under load.
- DataQuery optimization, migration paths, and storage models built for observability from day one.
- CloudInfrastructure that scales horizontally — not a demo that works until the first real customer.
20
Years of production engineering
Start the conversation
Tell me where you're stuck.
Low-friction intake — I'll respond within one business day with a concrete next step, not a sales deck.