Software architect. Twenty years building scalable, reliable systems end to end: infrastructure, databases, APIs, and the interfaces on top of them.
I have architected production systems on AWS, GCP, and Azure, written backends in Node.js and Ruby on Rails, and built frontends in React, React Native, and Vue.
I design and build agentic systems: MCP servers, subagents, hooks, tool orchestration, and multi-agent workflows.
My work spans Anthropic, OpenAI, Google, and open-weight models, driven through Claude Code, Codex, Cursor, and Copilot. I build integrations to be provider-agnostic and to meet production constraints: cost ceilings, latency budgets, and compliance boundaries.
| Area | Technologies |
|---|---|
| Languages | TypeScript, JavaScript, Ruby, Swift, Python, PHP |
| AI | LLM integration, agentic workflows, MCP, RAG, model routing, evaluation harnesses, vector search |
| Backend | Node.js, Ruby on Rails, Express, GraphQL, Apollo, Postgres, Redis, BullMQ |
| Frontend | React, React Native, Next.js, Vue, Redux, Tailwind |
| Data | PostgreSQL, MySQL, MongoDB, Firestore, Cosmos DB, DynamoDB, Elasticsearch |
| Platform | Docker, Terraform, Kubernetes, GitHub Actions, Fastlane, Datadog |
| Provider | Services | AI |
|---|---|---|
| AWS | ECS, Fargate, Lambda, EKS, S3, RDS, Aurora, DynamoDB, SQS, EventBridge, Step Functions, CloudFront, API Gateway, Cognito, CDK | Bedrock, SageMaker |
| GCP | Cloud Run, Cloud Functions, GKE, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Tasks, Cloud Storage, Secret Manager, Firebase Auth | Vertex AI, Gemini API, Document AI |
| Azure | App Service, Container Apps, Functions, AKS, Cosmos DB, Azure SQL, Blob Storage, Service Bus, Event Grid, Entra ID, Key Vault, ACR, Application Insights | Azure OpenAI, AI Foundry, AI Search |
| Vercel | Edge Functions, ISR, Blob, Cron, Analytics | AI Gateway, AI SDK |
| Cloudflare | Workers, R2, D1, KV, Durable Objects, Queues | Workers AI, Vectorize |
| Supabase | Postgres, Auth, Realtime, Storage, Edge Functions | pgvector |
| Neon | Serverless Postgres, branching, autoscaling | pgvector |
Healthcare, life sciences, commerce media, retail, and high-volume consumer platforms.
| Standard | Where |
|---|---|
| HIPAA | Patient and provider platforms, PHI at rest and in transit |
| 21 CFR Part 11 | Validated quality-management systems |
| SOC 2 | Multi-tenant SaaS, audit evidence pipelines |
| ISO 9001 | Documented engineering process |