The strengths I bring at scale, from applied AI and the data and distributed systems beneath it, to the identity foundations, the modernization and sourcing calls, and the leadership that holds it together.
Applied & Agentic AI
A large-scale context engine powering multi-agent LLM applications. Hybrid RAG, agentic pipelines, MLOps, and ML inside user-facing products, grounded and guardrailed throughout, with the evaluation and responsible-AI standards that let it ship.
Data Platforms
The governed data foundation analytics and AI run on. Fragmented estates consolidated into a single lakehouse, with real-time pipelines, metadata, lineage, and GDPR and CCPA compliance across millions of accounts.
Distributed Systems & Architecture
Large-scale multi-tenant SaaS designed from first principles: domain-driven microservices, micro-frontends, and mobile-first apps on the BFF pattern, over event-driven, cloud-native foundations built for peak load.
Engineering Leadership & Org Design
Building and scaling engineering organizations of 250 and up across web, mobile, backend and AI/ML, leading through directors and managers. I hire and grow the leaders who run the teams, shape squad and tribe structures to the outcome, and raise delivery predictability so commitments hold.
Identity & Access at Scale
My specialty: identity and access platforms built from the ground up. Real-time, cross-channel identity resolution proven at millions of concurrent profiles, consolidated onto OIDC and OAuth 2.0, with the security and privacy posture to match.
Modernization, Cloud & M&A Consolidation
Turning monoliths, legacy estates and acquired platforms into one modern system. Domain-driven microservices via the Strangler Fig pattern, zero-downtime cloud migrations worth more than $50M in operational and vendor savings, four authentication systems onto a single standard, and four business-unit data platforms into one lakehouse.
Sourcing & Capacity Strategy
Deciding what a company should own and what it should rent. I have brought product suites back in house from vendor operation, rebuilt the internal capability to run them, and used outsourcing and staff augmentation deliberately where speed or a temporary skill gap called for it, sized against the multi-year roadmap rather than the current quarter.
Executive Partnership & Governance
Owning P&Ls above $20M and multi-year roadmaps in regulated environments. I partner with product and business leaders, run vendor strategy and negotiation, mature governance and compliance, and translate engineering and AI complexity for C-suite and board audiences.
The stack
What I work with
Two decades of accumulated stack, ordered the way the rest of this page runs: leadership at the top, the code at the bottom. Everything listed is something I have built with or run in production rather than read about.
Leadership and organization
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Organizational designManaging managersHiring and successionCoaching and mentoringRetentionPerformance managementSquad and tribe modelsGlobally distributed teamsExecutive and board communicationRoadmap and prioritization by business valueCross-functional partnershipBuild versus buyVendor evaluation and negotiationAgile and ScrumWaterfallSprint cadence and demo rhythm
Architecture and modernization
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Domain-driven designBounded contextsStrangler patternZero-downtime cutoversLegacy to cloud migrationMonolith to microservicesPlatform consolidationDatacenter consolidationMulti-tenant SaaSVendor to in-house ownershipDevOps automationPerformance profilingLoad testingArchitecture Decision Records
AI and agentic systems
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Agentic frameworksMulti-agent orchestrationMCPA2ARAG and hybrid retrievalVector and similarity searchSemantic re-rankingContext engineeringAgent memoryGuardrailsHuman in the loopReasoningWorkflow orchestrationLLM inference
Generative AI and models
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Amazon BedrockOpenAIAnthropicGeminiPer-use-case model routingTeacher-student distillationSmall language modelsFine-tuningSupervised fine-tuningAmazon Nova ProAmazon Nova Lite
MLOps and evaluation
10
AWS SageMakerModel CI/CDModel registryContinuous trainingEvaluation and golden setsDrift monitoringA/B experimentationProduction observabilityCost and latency tuningThroughput optimization
Data and big data
14
SnowflakeMedallion architectureDatabricksSparkKafkaAirflowdbtUnstructured.ioKnowledge graphs on AWS NeptuneHadoopNear-real-time pipelinesOffline data platformsInstrumentation frameworksLineage and metadata catalogs
IAMOIDCOAuth 2.0JWT and JWKSAWS CognitoSingle sign-onRBACFine-grained access controlZero TrustOWASPAI governance and responsible AIAuditabilityData governanceGDPR and CCPAWCAG 2.2 AA accessibility
Languages, frameworks and data stores
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JavaSpring and Spring BootPythonJavaScriptTypeScriptReactSingle-page appsMicro-frontendsNode.jsJ2EEEJBJSFStrutsGWTMySQLOraclePostgreSQLAuroraDynamoDBMongoDBRedisAmazon S3OpenSearch