Production-grade AI systems, automation, and full-stack engineering — built to hold up in the real world.

The Problem

A SaaS client was burning over 100 hours a week on manual support tickets. Their previous AI bot was brittle, slow, and frustrating users—costing them money and reputation.

My Solution

I ran a three-day technical audit, scrapped the broken system, and built a modular Node.js agent flow that plugs directly into their helpdesk. The new architecture delivers 95% answer accuracy with proper fallbacks and observability baked in.

The Result

The assistant now resolves 75% of all incoming tickets, freeing three support reps to focus on high-value clients and saving roughly $12,000 every month.

• 75%Tickets auto-resolved
• 100+ hrs / weekManual support hours reduced

The Problem

Their Node.js document analysis MVP was vibe-coded, painfully slow, and full of security gaps. The team could not ship without creating new bugs.

My Solution

I performed a full-stack rescue: patched security issues, refactored the parsing engine, added automated tests, and containerized deployments so the team could iterate safely.

The Result

Document processing times dropped by 60%, production deployments became predictable, and the founders used the stability gains to close their next funding round.

• 60% fasterProcessing speed
• 0 post-launchSecurity incidents

The Problem

Campbert's mission-critical booking system was leaking revenue through payment bugs, unsecured APIs, and brittle admin tools. Their team was one outage away from churn.

My Solution

I triaged the platform, executed an emergency security audit, modularized the backend, and rebuilt the payment flows. I shipped the administrative tooling they needed to operate confidently.

The Result

Revenue leakage stopped overnight, security posture hardened, and the refactored codebase now supports a reliable product roadmap.

• EliminatedPayment failures
• 20+ hrs / weekAdmin time saved