Projects
Selected work
Real systems, in production — each one problem → approach → outcome.
FHIR R4 Healthcare Data Platform
- Python
- Lambda
- RDS MySQL
- Athena
- QuickSight
- Medplum
- LOINC/SNOMED
Problem: ICHOM needed its health-outcomes standard sets published and consumable through a modern healthcare-interoperability API.
Approach: Cloud-native FHIR R4 platform — serverless Lambda APIs with Swagger UI, plus a self-hosted Medplum FHIR server and an automated analytics pipeline replacing manual reporting.
Outcome: Three production APIs live, with end-to-end ETL from synthetic patient data through to QuickSight dashboards.
Real-Time Options Analytics Dashboard
- Python
- Dash/Plotly
- Claude API
- Market data feeds
Problem: Options-trading decisions needed real-time, multi-source market analytics with dependable automated scoring.
Approach: Live dashboard with Claude-assisted composite scoring, tuned ingestion pipelines, and fallback data providers for fetch reliability.
Outcome: Dependable real-time analytics running in daily personal-production use, tuned for performance and API cost efficiency.
Intelligent Document Automation
- Lambda (Python/.NET)
- SQS
- Aurora MySQL
- DynamoDB
- Hyperscience
- C# WinForms
Problem: High-volume logistics document workflows at Transflo required automated classification and data extraction at scale.
Approach: Event-driven SQS + Lambda pipelines integrating the Hyperscience AI platform, with C# operational tooling for monitoring and administration.
Outcome: Improved accuracy and throughput of production intelligent-automation pipelines processing asynchronous document workloads.
Voice Apps with Composite Scoring
- Alexa Skills Kit
- Python
- Claude API
- Environmental/tide APIs
Problem: Turning live environmental and tide data into a simple spoken recommendation requires orchestrating multiple APIs and scoring logic.
Approach: Custom Alexa skills with composite scoring over live data feeds, using Claude-designed orchestration for repeatable outputs.
Outcome: Published voice apps delivering consistent, explainable scoring from noisy multi-source data.