A decade of enterprise engineering. 20+ production applications. Now I build autonomous AI systems — agents, apps, and automation that operate 24/7 without you touching them.
Right now, 24 AI agents I built are running my own operations.
Three AI models in a failover chain. Five production systems processing, scoring, and delivering — autonomously.
Most AI developers learned from tutorials. I learned by spending a decade building enterprise systems at scale — then applying that rigor to AI.
I don't guess if it works. I know.
Idea to deployed product. Web apps, SaaS platforms, dashboards, internal tools, mobile backends. I vibe-code at speed most teams can't match — you describe what you want, I ship it.
Multi-agent orchestration where AI models coordinate, fall back, retry, and deliver. Production-tested across Claude, GPT, DeepSeek, Gemini, Llama, and local models simultaneously.
Headless agents that navigate authenticated platforms, persist sessions, and bypass blocked APIs through UI automation. For when the official API doesn't exist — or isn't enough.
Custom scoring and prediction systems with feedback loops that learn and improve. Lead scoring, content ranking, opportunity evaluation — whatever your business needs to decide at scale.
Data in → AI processes → decisions made → actions taken → humans notified. State machines with enforced transitions, deduplication, quality gates, kill switches, and human-in-the-loop control. Delivered to Telegram, Slack, email, webhooks, or wherever your team works.
Production platform orchestrating 24 autonomous AI jobs across 3 model tiers with automatic failover. Routes 60-70% of traffic to free local inference, escalates to cloud only when the task demands it. Gateway with authentication, health monitoring, and per-model usage tracking.
End-to-end pipeline: discovery → scoring → AI content generation → independent verification → human approval → delivery. A separate AI verifier checks every claim against source documents, automatically rejecting unsupported content. 14-state machine ensures no step is ever skipped.
Scores opportunities across 5 weighted dimensions with 7-signal macro trend detection. Fires alerts when 4+ signals accelerate simultaneously. Weight learning from real outcomes. Calibration feedback loop auto-adjusts accuracy. 18-table schema with full audit trail.
SaaS analytics platform serving 50+ clients with custom dashboards, automated reporting, and data pipeline integrations. Built from zero to production — full-stack architecture, auth, billing, multi-tenant data isolation.
I spent 10 years building enterprise-grade systems at Dentsu — one of the world's largest advertising networks. 20+ internal applications across MarTech, BI, RevOps, and analytics. Systems that handled real scale, real users, and real consequences.
That foundation is what makes my AI work different. I don't build demos that impress in a meeting and break in production. I build systems with the same rigor I applied to enterprise software — proper error handling, monitoring, graceful degradation, and documentation — but shipped at startup speed.
Now I combine that enterprise discipline with frontier AI capabilities across every major model and framework. The result: AI systems that actually work at 3 AM on a Sunday when nobody's watching.
Enterprise development across MarTech platforms, BI dashboards, internal tools, and automation systems at global scale.
Formal CS foundation. Not a bootcamp grad guessing at architecture — proper understanding of data structures, algorithms, and systems design.
Built and launched SaaS platforms, ML-powered matching engines, and productivity tools. Not just an employee — a builder.
30-minute call. We define exactly what the system does, what it connects to, what success looks like, and what could go wrong. I come prepared.
Technical spec within 24 hours. Data flow, model selection, integration points, failure modes, cost projections, and delivery timeline.
Working v1 in days. Daily progress updates — real output, not status reports. Deployed, documented, monitored, and running.
Tell me what you need. I'll come back with exactly how I'd build it, what it costs, and when you'd have a working system.
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