AI application architecture
Designing AI-enabled applications that connect models with enterprise data, APIs, business rules, and dependable user workflows.
Experience
From enterprise strategy to production reality
I help organizations translate ambitious goals into secure, scalable, operable technology. My experience combines architecture, hands-on engineering, modernization, reliability, and cross-functional leadership.
Applied AI
AI product development from concept to production
I build AI capabilities as part of complete applications, connecting models to enterprise information, software services, and human workflows. The work spans architecture, implementation, evaluation, security, and operational readiness.
RAG & knowledge systems
Building document-ingestion, semantic-search, retrieval, and grounded-answer experiences for domain-specific information.
Agents & intelligent workflows
Using tool calling, agentic patterns, and automation to coordinate multi-step work while keeping people in control.
Production-ready AI
Applying evaluation, guardrails, observability, security, and human review so AI features can operate responsibly beyond a demo.
Capabilities
What I do, in depth
Enterprise & Solution Architecture
- Modernization and platform strategy
- Distributed systems and microservices
- Integration architecture and API governance
- Event-driven and asynchronous architectures
- Security, resilience, and disaster recovery
- Architecture standards and technical roadmaps
Cloud & Platform Engineering
- AWS architecture and modernization
- Azure architecture and hybrid-cloud solutions
- Containers, orchestration, and serverless computing
- Infrastructure as code and CI/CD
- Cloud governance, security, and cost optimization
- Operational readiness and production support
Software & Integration Engineering
- Java, Spring Boot, REST APIs, and microservices
- C# and .NET Core
- Authentication, authorization, OAuth, JWT, and mTLS
- API gateways and enterprise integration
- SQL, transactional systems, and performance engineering
- Testing, release engineering, and production troubleshooting
Data, Analytics & AI
- Enterprise data integration and data platforms
- Snowflake, Databricks, relational databases, and search platforms
- RAG, tool calling, AI agents, evaluation, and guardrails
- Document ingestion, semantic search, and workflow automation
- Human-in-the-loop intelligent systems
- AI-assisted software development and delivery
Reliability & Technical Leadership
- SRE, observability, monitoring, and self-healing automation
- Incident analysis and operational improvement
- Engineering standards and architecture governance
- Cross-functional and distributed-team leadership
- Mentoring, technical coaching, and stakeholder communication
Industries
Where this work has applied
Financial Services & Insurance
Retail & Distribution
Healthcare & Pharmacy
Education
Government & Public-Sector Initiatives
Real Estate & CRM
Contact Center & Telecommunications
Certifications
Credentials
Listed for reference while exact titles, issue years, and current status are being verified. Official badges will be added only where license terms permit.
- AWS Certified Solutions Architect — ProfessionalVerify current status and exact title
- Databricks Certified Data Engineer AssociateVerify year and status
- Snowflake CertificationInsert exact credential
- Microsoft Azure CertificationInsert exact credential
- Microsoft Azure AI Fundamentals (AI-900)Verify
- Oracle Certified Enterprise ArchitectInsert exact credential wording
- Project Management Professional (PMP)Verify current status
Career timeline
Employment chronology
The detailed timeline of employers, roles, dates, and outcomes is prepared but withheld until each entry is verified and approved for public disclosure. A professional profile is available on request through the contact page.