Systems · Infrastructure · Agentic SDLC

Constrained systems for messy real-world operations.

I build secure, observable, and durable agentic systems and workflows.

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Operating principles

01 Context scoping

02 Observability & Statefulness

03 No abstractions without justification

04 Adaptability & Modularity

Selected work

Systems framed by constraints, tradeoffs, and operational evidence.

01 private infrastructure

Edge Infrastructure Platform

Repository

Multi-node private infrastructure designed for low idle cost, private access, recoverable storage, and direct operational control.

Constraint
Always-on coordination had to stay cheap and legible while heavier compute slept until needed.
Built
Raspberry Pi control plane, Wake-on-LAN compute orchestration, Tailscale mesh, RAID1 storage, and automated backups.
Omitted
No Docker, Kubernetes, or Nginx where the abstraction cost did not justify itself.

python / flask / systemd / tailscale / bash

02 agent workflow layer

Workpath

Repository

Local-first structured SOP composer that turns loose operator intent into scoped execution packets for AI work nodes.

Compiled output
Workflow graphs, operator instructions, context/tool policy files, and evidence bundles.
Control model
Scoped context, explicit handoffs, review gates, and backward-pass feedback.

react / workflow compiler / json / agentic sdlc

03 security ux

PhishGuard

Repository

Desktop-first phishing triage prototype that helps non-experts inspect suspicious messages through clearer evidence and safer interpretation.

html / css / javascript / security ux

04 full-stack web app

SteelBeam

Repository

Game library and catalog web app. Team lead role across auth, sessions, database schema, library UI, and revision cycles after feedback.

php / mysql / javascript / rawg api

Writing

Notes on AI systems and missing control layers.

The missing layer: a conversation with Claude about what AI can't do yet Mar 2026
Code as agent harness drafting
Contact

Available now for AI deployment, systems, infrastructure, and automation roles.

B.S. Information Technology with a mathematics minor, awarded May 2026. Based in New Jersey and open to relocating to California or other strong tech hubs. Strongest fit: practical systems work where fragmented operations need clearer tools, safer workflows, and better control loops.

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