Cloud Architecture
Platform decisions with governance built in.
Azure-native architecture, AWS exposure, application modernization, data migration, high availability, disaster recovery, security controls, and cost optimization.
Practice Architect / Cloud / AI / DevOps
Architecting cloud and AI delivery that survives the real world.
I help teams move from strategy and presales into governed execution, designing Azure-first platforms, AI-enabled systems, modernization roadmaps, and delivery models that scale. The work is practical by design: clear operating models, secure integration patterns, measurable delivery controls, and solutions that engineering teams can support after launch.
Governance first
Delivery-ready design
Measurable outcomes
14+ years
Microsoft stack, enterprise software, cloud architecture, and delivery leadership.
Azure + AI
AI services, OpenAI, MLOps, analytics pipelines, governance, and reusable frameworks.
Delivery focus
Presales transition, stakeholder planning, migration strategy, security, SLAs, and KPIs.
About
Where architecture meets execution.
My work sits between business intent and production reality. I define architecture direction, validate solution paths, coordinate delivery teams, and keep programs aligned with security, governance, resilience, cost, and measurable client outcomes.
Across roles from Software Engineer to Practice Architect, I have designed enterprise applications, led modernization programs, resolved critical production issues, mentored teams, and shaped cloud and AI practices for scalable delivery.
Core Work
Problems I'm built to solve
Cloud Architecture
Impactful AI.
Azure AI Services, OpenAI, AI/ML models, intelligent applications, analytics pipelines, MLOps, and reference architectures.
Business goals translated into buildable systems.
Target-state architecture, integration patterns, technical roadmaps, estimation support, risk assessment, stakeholder alignment, and delivery-ready design decisions.
Practice Architect
TEKsystems Global Services LLC
Leading transitions from presales to delivery across Cloud, AI, and DevOps engagements.
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