Resume

Principal-Level Leadership

Principal Solutions Architect and Field CTO focused on translating executive priorities into secure, scalable platforms across generative AI, cloud, and data ecosystems.

Hands-On Builder Mindset

Known for combining strategic leadership with hands-on engineering execution, from rapid prototypes to production-grade operating models and reusable architecture blueprints.

Healthcare and Life Sciences Depth

Deep domain experience across EHR, claims, population health, telehealth, imaging, and omics workloads in regulated environments.

Multi-Cloud Breadth

Multi-cloud delivery breadth across AWS, Azure, and Google Cloud with emphasis on platform engineering, governance automation, and long-term capability building.

Executive & Industry Strategy

Translate healthcare and life sciences business priorities into executable architecture and platform roadmaps.

• Executive advisory for AI, data, and cloud investments
• Portfolio prioritization with measurable outcomes
• Operating model design across product, platform, and compliance teams

Cloud Operating Model & FinOps

Establish governance, accountability, and cost optimization patterns for large multi-cloud estates.

• Cloud guardrails and cost accountability models
• Unit economics and workload rightsizing
• Cross-team platform stewardship and scorecards

Enterprise & Domain Architecture

Define domain-aligned target architectures and integration patterns for regulated healthcare systems.

• Domain decomposition and bounded contexts
• Interoperability architecture and reference models
• Risk-based modernization sequencing

Generative AI Platforms & Orchestration

Build reusable GenAI platform services with controls for safety, traceability, and scale.

• Agent platform design and orchestration
• Prompt, model, and workflow lifecycle management
• Evaluation and guardrail automation

Conversational & Multimodal AI

Design domain-aware conversational and multimodal experiences for clinical and commercial users.

• Task-aware assistant patterns
• Grounded response design with citation and confidence signals
• Speech/image/text workflow integration

Enterprise RAG, Search, Semantic, Graph & Vector Systems

Engineer hybrid retrieval systems that combine lexical, semantic, vector, and graph-aware context.

• Retrieval tuning and relevance evaluation
• Knowledge graph enrichment for reasoning pathways
• Grounding and hallucination mitigation patterns

AI/ML & Advanced Modeling

Operationalize machine learning and advanced analytics pipelines with reproducibility and governance.

• Model lifecycle and drift management
• Feature engineering and experiment tracking
• Production MLOps patterns in regulated contexts

High Performance Computing & Research Platforms

Deliver scalable scientific compute platforms spanning HPC scheduling, GPU workloads, and collaborative workspaces.

• Workload-aware scheduling and quota controls
• Secure virtual workspace access
• Throughput and utilization optimization

Unified HCLS Data Platforms (FHIR, OMOP)

Build interoperable data foundations that unify clinical, claims, imaging, and omics domains.

• FHIR/OMOP harmonization and canonical modeling
• Data product strategy with quality and lineage
• Privacy-preserving analytics enablement

Modern Data Architectures (lakehouse, warehouse, data mesh, semantic layer)

Design modern analytical ecosystems aligned to product and domain ownership.

• Lakehouse and warehouse interoperability
• Data mesh enablement with federated governance
• Semantic layer strategy for business consistency

Cloud-Native Application Platforms (serverless, Kubernetes, containers)

Enable secure, scalable runtime platforms and developer experiences for distributed teams.

• Platform templates and golden paths
• Container and serverless architecture guidance
• Runtime resilience and observability baselines

Multi-Cloud & Platform Engineering

Deliver consistent architecture and operational standards across AWS, Azure, and Google Cloud.

• Cross-cloud control abstractions
• Platform API and self-service enablement
• Engineering excellence through reusable modules

DevSecOps & Automation (IaC, CI/CD, GitOps, DataOps)

Automate secure delivery across infrastructure, applications, and data products.

• Policy gates in CI/CD workflows
• Infrastructure-as-code module strategy
• DataOps quality and release controls

Security, Privacy & Compliance (HIPAA/HITRUST-aligned designs, Zero Trust)

Embed security and compliance controls directly into architecture and operating models.

• Zero Trust architecture patterns
• HIPAA/HITRUST-aligned platform controls
• Continuous risk monitoring and evidence automation

Commercial & Partner Ecosystems

Align partner technologies and co-innovation motions to accelerate business and technical outcomes.

• Joint solution planning with partner ecosystems
• Commercialization of reusable accelerators
• Portfolio-level value realization

Customer Engineering & Organizational Leadership

Lead cross-functional engineering organizations with a builder mindset and measurable delivery practices.

• High-performing architecture and delivery teams
• Mentorship and technical leadership development
• Outcome-driven governance and execution cadence