Detailed profile
AI, ITAM, ITSEC and database systems expertise.
My professional foundation is 22+ years at Eracent, where I worked across enterprise software,
database platforms, IT asset management, software intelligence, automation, and AI-native data
workflows. I now use that foundation to design practical AI systems and applications.
AI systems
Agentic AI, workflow redesign, and automation
I work on AI command centers, agentic workflows, AI-assisted engineering, model-integrated
automation, and human-in-the-loop operating systems. The focus is not AI theater: it is making
real workflows visible, controllable, and easier to execute.
- AI-driven process automation and intelligent agents
- Autonomous and approval-gated workflows
- Python/API automation and internal tool integration
- LLMOps, MLOps awareness, AI model integration, local/private AI tooling
ITAM / ITSEC
ITAM, APM, SBOM, software intelligence, and security context
My strongest domain bridge is the intersection of enterprise IT asset management, software
normalization, application portfolio data, SBOM automation, vulnerability mapping, governance,
and operational intelligence.
- IT asset management and software recognition platforms
- SBOM automation and vulnerability mapping data workflows
- Asset history, CMDB-style structures, lifecycle and configuration data
- Secure platform automation, observability, governance, and reliability
Database systems
SQL Server, Oracle, PostgreSQL, MySQL, and data-heavy platforms
I have deep hands-on database architecture and engineering experience, especially in SQL Server,
with production work across enterprise-scale data platforms, high-load procedures, reporting,
ETL, APIs, and high availability.
- SQL Server architecture, T-SQL, indexing, performance tuning, troubleshooting
- PostgreSQL, Oracle, MySQL, Azure SQL, and cloud-connected operations
- SSIS, ETL pipelines, REST APIs, integration workflows, data engineering
- Always On, Failover Clustering, backup/recovery, monitoring, alerting
Enterprise delivery
Leadership, architecture, and product-facing execution
I have led database, data engineering, and AI engineering work across mission-critical enterprise
platforms, including mentoring engineers, scaling teams, partnering with product and executive
stakeholders, and turning technical complexity into roadmaps.
- Senior Executive Vice President, AI and Database Solutions
- Vice President of AI and Data Solutions
- Database Technical Lead / Head of DB Engineering
- Technical leadership across architecture, modernization, reliability, and secure delivery
Professional direction
After 22+ years, the next step is independent AI systems work.
The shift is deliberate: from building and operating enterprise systems inside one long-running
company to building my own AI operating systems, internal applications, and consulting patterns.
The goal is to combine senior enterprise judgment with practical AI execution: strategy, prototypes,
automation, data intelligence, and systems that can be used in real work.