What I Do

I design and govern scalable, secure platforms where reliability, compliance, and long-term growth are non-negotiable. I also help organizations integrate AI into core systems for decision support, governance, risk monitoring, and operational visibility—without hype.

  • Enterprise Platforms: architecture, modernization, resilience, and scale
  • AI-Enabled Systems: applied AI for governance, risk, fraud & anomaly detection
  • Engineering Leadership: technical direction, delivery governance, and cross-team alignment

How I Think

My background blends Industrial Engineering systems thinking with hands-on Azure/.NET architecture and leadership ownership. I focus on environments where failure is expensive and systems must be designed for durability

  • Platform Ownership 
  • Reliability 
  • Security
  • Governance
  • AI Augmentation 
  • Digital Twins

Focus Areas

The work I take on is where architecture, reliability, and business outcomes must align.

Enterprise Architecture

End-to-end system design spanning applications, infrastructure, data, security, and operations. Modernization that reduces risk and increases scale.

Platform Engineering

Building platforms that accelerate teams: CI/CD, observability, security guardrails, and scalable architecture patterns.

AI-Enabled Governance

Practical AI embedded into core workflows: decision support, anomaly detection, risk monitoring, and controls that keep systems trustworthy.

Security & Reliability

Designing for failure modes, high availability, and auditability—where system downtime is expensive and trust is critical.

Digital Twins

Digital twin integration for visibility, simulation, and operational decision-making—especially where reliability and auditability matter.

Engineering Leadership

Technical direction, delivery governance, and cross-functional alignment—connecting business goals to execution reality.

Selected Work

Curated highlights—focused on platform ownership and real business outcomes.

BixGate

Founder · Architect

Enterprise-grade financial and transactional platform designed for security, scalability, and auditability. Roadmap includes AI-driven governance, risk monitoring, and fraud/anomaly detection.

  • Azure & .NET platform architecture
  • Operational governance & auditability
  • AI-driven risk & anomaly monitoring (in progress)

Enterprise & AI Platforms

Developer · Designer

AI-enabled applications delivering automated, personalized outputs and decision workflows. Includes Azure AI Foundry integration and digital twin patterns for operational visibility.

  • AI workflow design & integration
  • Governance-oriented architecture patterns
  • Digital twin integration

*Some work is described at a high level due to privacy and client confidentiality.

Writing

Short, practical perspectives on architecture, governance, and AI in real systems.

AI Governance Without Hype

Where AI fits in enterprise systems, how to control risk, and why reliability matters more than demos.
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Designing for Failure Modes

Patterns that keep platforms stable under pressure: observability, guardrails, and operational resilience.
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Digital Twins as an Operating Model

How digital twins can improve visibility, simulation, and decision workflows across complex operations.
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Let’s Talk

If you’re building or modernizing a platform where scale, governance, and reliability matter, I’m open to strategic conversations.