Aegis
A workflow that turns AI-assisted software ideas into bounded, testable work with visible decision evidence.
Focus 04 · Software engineering
Build the systempeople depend on.
I build applications and integrations, then put them to work inside the systems people already use through APIs, automation, data flows, and careful delivery.
01 / What I bring
Software is part of a larger system.
The useful question is not only whether an application works in isolation. It is whether it fits the surrounding systems, supports the people using it, and remains understandable over time.
Integration-mindedConnect applications to APIs, automation, and existing data flows.
Systems-awareDesign with security, operability, and downstream impact in view.
Practical deliveryBreak complex problems into smaller steps and keep progress visible.
02 / Working model
Understand the whole path.
Good software delivery keeps the application, its interfaces, and its operators connected.
01
Understand the need
02
Map the system
03
Build the smallest useful step
04
Test and operate it
03 / Selected work
Applications that fit their environment.
The projects below show software work alongside integration, architecture, governance, and author-led tools.
GitHub ↗
Writer’s Studio
AI-assisted tools for revision, editorial review, reader response, and manuscript metrics that preserve the writer’s judgment and voice.
Software development and integration
Applications, platforms, APIs, automation, and data flows that work within systems people already depend on.
04 / Production evidence
Software inside the larger system.
The software lens includes the applications, automation, and integration work that made migrations, delivery, and operations safer.
AMI Migration
Designed and implemented a security-scanning workflow for thousands of non-standard AMIs, with several components developed using AI assistance. The work reduced scanner licensing and server costs by tens of thousands of dollars.
Proxy Server Automation
Connected reusable delivery automation to runtime readiness, correcting container startup behavior and validating the service before traffic shifted.