Software Engineering

From Simple,
To Scale.

Four inflection points where architectural decision making, platform migration, delivered impact.

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01

Platform Migration — VMs to Kubernetes

Initial State

Docker containers on Azure VMs. Manual deployments. Single-tenant. Every deploy risked downtime.

Decision

Migrated to AKS with a containerized spin-up strategy. Built the full CI/CD pipeline for zero-downtime deploys.

Result

Multi-health-system deployment. Zero customer-facing downtime during any release.

Deploys: hours → minutes  ·  Downtime: eliminated
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02

Real-Time Waveform System — New Product Line

Initial State

No real-time data capability. Body-worn sensors generating continuous waveforms with nowhere to go.

Decision

Designed an AWS-based firehose: Gateway → Queue → Algorithmic processing. Solved playback fidelity and downtime recovery.

Result

Production ML pipeline on clinical signals. Enabled continuous patient monitoring as a product.

Enabled entirely new revenue stream
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03

Multi-Cloud Networking — Single to Multi-Tenant

Initial State

Single Azure subscription. VPN tunnels, DNS, and subnet chaos. Epic integration through Cloverleaf with constant friction.

Decision

Architected hub-and-spoke across Azure subscriptions with cloud gateways. Added Mirth as the integration bridge. Introduced AWS for compute workloads.

Result

Clean multi-cloud, multi-tenant architecture. Each health system onboards without touching the core platform.

1 health system → multiple  ·  Multi-cloud operational
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04

COVID Vaccine Scheduler — Pandemic-Scale Delivery

Context

Sharecare, early career. Needed to roll out vaccine scheduling for states and enterprise clients under extreme public scrutiny.

Role

Owned authentication and reporting systems. Built Python data pipelines for the scheduling platform.

Result

Deployed for Florida, Georgia, and Delta Air Lines. High-traffic, zero-tolerance-for-failure delivery.

Multi-state scale  ·  Public health infrastructure
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