Architecting Autonomous Reality.
I am a Full-Stack Architect designing multi-agent orchestrators and building the robust enterprise infrastructure required to make them operate effectively in production.
*Based on early testing of proprietary SDLC orchestrator.
Bridging the gap between toy scripts & enterprise reality.
The AI industry is drowning in weekend hacks. But deploying autonomous agents into Fortune 500 environments requires a fundamentally different engineering muscle — one built on resilience, observability, and strict system boundaries.
With 14+ years of deep roots in C#, .NET, and Azure architecture — and delivery for Santander, Virgin Media, AT&T, and Caesars — I design systems that measure outcomes rather than activity.
"Building systems by day, breaking my own theories by night. Always debugging — code, life, and the universe."
🧠 Operational Matrix
Live Production Fleets
Autonomous orchestration systems currently executing full-lifecycle software engineering and data validation workflows.
Proprietary Dev Orchestrator
Autonomous SDLC System
End-to-end autonomous orchestrator. Monitors Jira, interprets specifications, generates production code enforcing existing architectural patterns, handles branching, and executes automated QA validation.
Workflow Analysis Agents
Sprint & PR Automation
Dual-agent ecosystem evaluating sprint readiness against Definition of Ready/Done, and an automated PR review agent enforcing strict code policies and architectural standards.
Data Lake Integrity Agent
Data Architecture
Operates autonomously over Azure Data Lake infrastructure. Continuously validates mapping pathways, detects schema drift, flags data anomalies, and verifies Power BI pipeline consistency.
Pre-Agentic Engineering Wins
Full-Stack & Data Science
Built a predictive sports SaaS platform leading to a $150,000 client exit. Engineered data science algorithms that drove 6%+ incremental revenue for F500 clients including Santander, Virgin Media, and AT&T.
Architecture & Observations
Sardonic, credible analysis focusing on business reality over AI hype.
AI Code Review with Agents: Faster Reviews Without Lowering Standards
How to run AI code review with agents in real engineering teams: review scopes, scoring thresholds, guardrails, and handoff patterns that improve quality.
I Reviewed 1,000 Lines of AI-Generated Code. <em>Here's What I Found.</em>
A systematic audit of what LLM-generated code actually looks like in a production codebase — the patterns, the failure modes, and the one thing that surprised me.
Jira to PR Automation: How AI Agents Ship Faster Without Chaos
A clear Jira-to-PR automation guide using AI agents: ticket intake, branch strategy, code generation, tests, pull requests, and safe human review.
Solve your engineering bottleneck.
Available for select consulting engagements. If you are a founder, CTO, or technical leader moving from AI hype to production reality, initiate contact.