Master's-educated AI/ML researcher and architect with 178+ published models
(HuggingFace) and 20+ years of cross-disciplinary expertise in cloud, virtualization, and
storage engineering.
Proven ability to design scalable AI solutions (e.g., Agentic RAG,
MCP/LangChain integrations) and optimize infrastructure (NetApp, AWS, Kubernetes).
Combines technical depth with leadership in disaster recovery, DevOps, and systems
architecture.
Seasoned Unix engineer and architect.
Deliver AI/ML consulting for SMBs: train edge-optimized models, deploy time-series analytics, and design Agentic RAG workflows. - Architect hybrid cloud storage (NetApp → AWS S3) and DevOps pipelines (logging/notification systems). - Refactor Python scripts for critical infrastructure; optimize I/O performance in distributed systems.
Managed 60+ NetApp/EMC arrays across dev/prod; designed multi-node Ops Manager monitoring. Led data migration/orchestration for Oracle/SQL/VMware workloads using Snap Manager.
Oversaw 9PB+ storage (NetApp/EMC DMX) and 250+ UNIX servers; standardized NetApp tools via Ops Manager. - Pioneered disaster recovery templates for Unix and NetApp Storage, reducing recovery time by 40%.
Directed IT operations (help desk, backups, asset management); migrated physical ISP infrastructure between data centers in less than 10 hours.