Principal Architect, ChenMed LLC

Architected and built Grace, a fully automated AI-driven patient outreach system that calls and texts patients to check on their wellbeing, scores conversations in real time for clinical risk, and hands off patients-in-need to live staff for immediate follow-up. Designed a novel dialog engine on top of third-party telephony and speech services, operating within HIPAA and clinical-safety constraints. In its first week of operation: 300 calls per hour, 5,000 scored conversations, multiple emergency-room visits prevented, and measurable reductions in hospital admission rates within days of launch — a working example of agentic AI in a regulated, high-stakes clinical environment, at a time when most AI demos never reach production.

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Principal Architect, ChenMed LLC

Built a production system for High-Risk Disease Detection across inbound clinical documents from ERs, specialists, labs, fax, and third-party sources. Uses vector embeddings to identify semantic matches against ICD-10, HCC, and high-risk condition taxonomies — cancers, diabetes, cardiovascular and renal disease, and other conditions where early detection materially changes patient outcomes. Strong-match documents are surfaced for clinical review, ensuring the care team learns of new diagnoses from outside encounters in near real-time. Processes approximately 3 million documents monthly across XML, PDF, and scanned TIF formats; in a recent two-week period it surfaced over 12,000 clinical recommendations that would otherwise have been missed or delayed. In a value-based care model, accurate and timely disease identification is foundational to both patient safety and risk-adjusted population health.

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Principal Architect, ChenMed LLC

Designed and built a near-real-time CDC ingestion engine for Snowflake, handling the ordering, idempotency, schema-evolution, and operational concerns that the off-the-shelf vendor ecosystem handles expensively and imperfectly. Replaced commercial CDC tooling across five heterogeneous source systems, now running at 8 million events per day at baseline with peaks exceeding 40 million and end-to-end latency consistently under two minutes. Most Snowflake-using organizations end up buying several third-party systems to move data in and out securely — this work demonstrates that a purposefully-built ingestion layer can replace that stack at a fraction of the licensing cost while handling edge cases the commercial tools cannot.

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Senior Support Engineer, Amazon.com

Authored the internal migration runbook for Amazon's MAWS initiative, the company-wide mandate to move applications and systems from VMs onto AWS infrastructure. Provided the prescriptive mapping of modules and subsystems to the available AWS primitives of the era — predominantly EC2, S3, EBS, and RDS — and served as the designated SME for VM-to-AWS migrations across the Merchants@ organization. The runbook became the foundation for subsequent migrations of both internal and customer-facing systems. This work predates the managed-service ecosystem most AWS engineers now take for granted; the migrations were built from cloud primitives, which required architectural judgment that later abstractions made optional.

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Senior Principal Consultant, Oracle Corporation

Architected and built a server orchestration abstraction layer managing the full lifecycle — provisioning, patching, configuration, disaster recovery, decommissioning — across 110,000 servers, 20 data centers, and seven regions spanning public cloud, FedRAMP, and private cloud. Designed the APIs, CI/CD pipelines, and SaltStack-integrated automation that enforced security and compliance at federal scale. Co-invented U.S. Patent #15/681,084 for electronic voting security. Three-time recipient of the Fusion Ops Engineering Excellence Award (2015, 2016, 2017).

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Senior Database Architect, Everyone Counts

Led the migration of New Jersey's voter registration system from 24 Oracle 9/10/11 instances to MariaDB 10.1 under a $12M contract, delivered three months ahead of schedule. Designed a 6TB, 13-site, multi-directional, fault-tolerant multi-master replication topology that allowed simultaneous writes across all counties while surviving frequent network partitions. Built custom Perl ETL to migrate Oracle data into the new architecture, converted the platform from Windows to Linux, and trained county SysAdmins and DBAs on the new stack. The platform has since maintained 100% uptime through hundreds of local and state election cycles.

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Lead Developer and Founding Team Member, Netmark Systems

Architected and led development of a full multi-tenant platform serving the direct-sales industry — CRM, replicated distributor websites, email marketing automation, compensation-plan management, payment processing, ecommerce for both retail and business-opportunity flows, and online training systems. Operated as white-label backend for entire customer organizations, with individual customers running dozens of distinct brands on the platform. Scaled the codebase past 500,000 lines of Perl, managed 25+ Linux servers, and built the marketing automation engine that delivered 22M+ messages daily. Subsequently contracted by a second direct-sales group to rebuild the platform for their organization — two independent commercial deployments of the same architectural pattern, each hosting dozens of downstream businesses. This predates the vertical-SaaS category by nearly a decade; multi-tenancy, white-label deployment, and industry-specific workflow automation were being solved from primitives before the reference architectures existed.

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