Senior architecture and hands-on delivery for mission-critical systems.
Four practices spanning healthcare data, enterprise data engineering and distributed systems, enterprise AI agents, and multi-cloud platform engineering — built to move business-critical initiatives from strategy into production.
Healthcare Data, Analytics & AI Consulting
Fragmented clinical, claims, laboratory, and operational data is slow and costly to trust, govern, and act on — a direct constraint on decision velocity, clinical operations, and regulatory readiness that CIOs, CDOs, and clinical leadership feel every quarter.
Interoperable data platforms, validation pipelines, and secure, HIPAA-aware AI-enabled workflows — architected, implemented, and operationalized into production.
A reliable, auditable single foundation for reporting, operations, and regulatory oversight — faster access to trusted information, less manual administrative burden, and scalable ground for responsible analytics and AI.
- EHR / claims modernization or consolidation
- FHIR/HL7 interoperability programs
- Clinical or operational analytics that can't be trusted
- Responsible AI adoption under HIPAA-aware governance
Enterprise Data Engineering, Databricks & Distributed Systems
When high-volume data can't move and process reliably, analytics, machine learning, and generative AI stall — and every pipeline failure becomes a business risk the CTO and CDO answer for. This is the work senior Kafka and Databricks engagements demand.
Fault-tolerant batch and streaming platforms on Apache Kafka and Databricks, built on a governed medallion lakehouse — bronze → silver → gold — with source-to-target reconciliation, data contracts, idempotent and restartable pipelines, lineage, and production observability.
Analytics-ready and AI-ready data available sooner and more reliably, faster incident diagnosis and recovery, and better workload performance and cost control across distributed compute.
- Unreliable or incomplete pipelines blocking analytics/ML
- Kafka / Databricks / Spark platform build or migration
- AI-forward data platform for a senior data-engineering contract
- Lakehouse governance, lineage, and cost control
Enterprise AI Agents & Intelligent Automation
Most enterprise AI stalls in experimentation because it can't be trusted, governed, or safely connected to the systems where work actually happens — leaving boards and CTOs with promising demos and no production adoption.
Production AI agents that retrieve enterprise knowledge, call tools and APIs, and coordinate multi-step workflows — with evaluation, guardrails, human-in-the-loop approval, structured outputs, and full traceability. Production systems, not chatbots.
AI moved from pilots into controlled production use — automating multi-step work and accelerating case resolution while preserving human accountability and cost control.
- AI pilots that can't graduate to production
- Knowledge retrieval / RAG over governed enterprise data
- Multi-step operational workflow automation
- Agent evaluation, guardrails, and observability
Multi-Cloud Platform Engineering & Repeatable Architecture
One-off cloud builds create inconsistent environments, slow delivery, mounting operational complexity, and unpredictable cost — eroding operating leverage and release predictability across every team.
Reusable reference architectures and automated platform foundations across AWS, Azure, and Google Cloud — infrastructure as code with reusable modules, CI/CD with environment validation, standardized security guardrails, and consistent promotion from development through production.
Faster, more consistent, more predictable deployments; reduced one-off engineering; standardized security and governance; and better cost visibility and infrastructure control.
- Bespoke, inconsistent environments per workload
- Cloud migration and legacy modernization
- Reusable platform / landing-zone foundations
- Standardized security, observability, and cost control
Let's scope the system that moves your business forward.
Project-based consulting, corp-to-corp, or embedded technical leadership — architecture through production.