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.

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Decision

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

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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.

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Decision

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

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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.

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Decision

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

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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.

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Role

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

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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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