AI Systems Architect & Cloud Modernization Leader
Specializing in modular AI architectures—like the "Neutral Gateway"—that decouple secure enterprise data from rapid AI innovation. I build production-ready systems using .NET 9, Databricks, and RAG to solve complex data challenges.
Delivering quantifiable results in security, efficiency, and compliance
Reduced manual audit validation effort through AI-assisted reconciliation automation
Improved deployment timelines with serverless architecture and CI/CD optimization
Increased integration throughput via event-driven serverless patterns
Maintained compliance during modernization initiatives across regulated environments
Real-world solutions balancing security, compliance, and innovation
Government agency suffered fiscal leakage and operational friction from software release variances between PeopleSoft, proprietary systems, and business logic, requiring manual human review of every transaction.
Legacy financial systems required manual validation of complex dataset reconciliation, consuming hundreds of hours per audit cycle with high error risk.
Modernizing legacy validation system without disrupting production operations or risking compliance violations during transition period.
Document-heavy regulated workflows required automation while maintaining human oversight and full audit trail for compliance.
Customer interaction workflows required automated voice responses with dynamic content generation and low operational overhead.
Healthcare configuration rules, letters, and scenarios were managed through error-prone manual processes lacking version control, audit trails, and rollback capabilities.
Treasury PAM v5.0 fixed-width files required manual processing into Excel workbooks, creating bottlenecks and inconsistent validation across financial reconciliation workflows.
Genomic research organizations needed to analyze 10,000+ PAM sequence files using vector similarity search with enterprise-grade security and real-time visualization.
Trading operations required real-time ticker symbol extraction from live YouTube streams for automated trading bot execution, but manual monitoring was error-prone and slow.
Development teams needed secure, reusable symmetric encryption utilities for sensitive data handling in government and enterprise applications.
.NET Framework API contracts lacked comprehensive regression testing, creating risk during deployments and preventing confident continuous delivery.
Raw unstructured data required transformation into queryable formats for SQL analysis and business intelligence, but manual processing was slow and error-prone.
Proven expertise across cloud, AI, and enterprise systems
Strategic architecture and execution for complex modernization challenges
Legacy-to-cloud transition planning with security and compliance built in from day one.
Ideal for government agencies, healthcare organizations, and regulated industries modernizing legacy infrastructure.
LLM workflow design with human-in-the-loop governance and full audit trails.
Perfect for organizations exploring AI automation while maintaining strict compliance requirements.
Event-driven architectures that scale automatically and reduce operational overhead.
Best for organizations seeking to reduce infrastructure costs while improving reliability and scalability.
Delta analysis engines and reconciliation systems for complex data validation needs.
Critical for financial services, healthcare, and government agencies requiring audit-ready data validation.
10+ years architecting secure systems for government and enterprise
Software Developer / AI Cloud Architect
Senior Software Applications Analyst
Software Engineer
Full Stack Developer
Software Engineer
Technical Solutions Consultant
IT Specialist
Network Technician III
Available for architecture consulting, speaking engagements, and strategic advisory roles