Hey 👋 I'm

Zachary Woods

Zachary Woods

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TypeScript
Next.js
React
Python
Rust
PostgreSQL
Docker
AWS
Azure
Node.js
FastAPI
LangChain
Redis
GraphQL
tRPC
Tailwind CSS
TypeScript
Next.js
React
Python
Rust
PostgreSQL
Docker
AWS
Azure
Node.js
FastAPI
LangChain
Redis
GraphQL
tRPC
Tailwind CSS
TypeScript
Next.js
React
Python
Rust
PostgreSQL
Docker
AWS
Azure
Node.js
FastAPI
LangChain
Redis
GraphQL
tRPC
Tailwind CSS
TypeScript
Next.js
React
Python
Rust
PostgreSQL
Docker
AWS
Azure
Node.js
FastAPI
LangChain
Redis
GraphQL
tRPC
Tailwind CSS

Skills

What I build with and maintain

Programming Languages

JavaScript
TypeScript
Python
SQL
PowerShell
Bash
Java
C
C++
PHP
Rust

Frameworks

React
React Native
Next.js
Node.js
Express.js
FastAPI
Tailwind CSS
shadcn/ui
Drizzle ORM
tRPC
GraphQL
LangChain
LangGraph
CrewAI

Tools

PostgreSQL
Redis
Docker
Nginx
Git
Vercel
AWS
Azure
Linux
Stripe
Discord API
Neon
Chroma
Active Directory
Microsoft 365
MDM
Endpoint Management

Experience

Professional experience and education

Jan 2026 — Present

Systems Engineer

ImageNet (MSP)

Architected Azure AD and Microsoft 365 tenant configurations, managing 500+ user identities across hybrid cloud environments. Automated endpoint provisioning workflows using PowerShell scripts, reducing deployment time by 60%.

Dec 2025

B.S. Computer Science

Florida Atlantic University

Graduated from FAU with a Bachelor of Science in Computer Science. Built production-grade web applications and automation tooling throughout the program.

Feb 2024 — Jan 2026

Technician

Treasure Coast IT Solutions (MSP)

Designed and implemented network infrastructure solutions including VLAN segmentation and secure VPN access for multi-building facilities. Managed IT infrastructure for 30+ sites, overseeing Windows/Linux servers, networking, and security systems. Guided a 3-month university student internship leading a hands-on automation project.

Projects

Things I've built

⬡ open source2026

Shelly — A Visual Working Surface for AI Coding Agents

Coding agents got fast; reading what they did didn't. A long agent turn arrives as a wall of terminal scrollback, and buried somewhere in it are the two decisions that actually needed you. Shelly makes visual output the default working mode: agent sessions — Claude Code or Codex — run inside embedded terminals, and each turn the agent writes a self-contained HTML page (a status card, a plan, a diff review) that Shelly floats in a panel over your work without stealing focus. You read the page instead of the scrollback, then answer in place — a ✓/✎/✗ ballot on the proposed next steps and a comment affordance on every block. Click the exact paragraph you're asking about and your reply is compiled into prose and injected straight into that agent's live session; you never type into a terminal. It's a desktop app rather than a web page because the panels have to sit over your terminal without taking focus and the agents have to actually run somewhere: Shelly registers an Objective-C NSPanel subclass at runtime from Rust and swaps framework-owned windows into it, runs each agent CLI in an owned PTY, and treats agent-authored HTML as untrusted — sandboxed opaque-origin iframes, a typed message protocol, and a hard gate that stops remotely-fetched pages from reaching a local shell. The Board unifies every session in one surface: artifact history, unread counts, live status, and a read-only diff of the files a session has touched. ~22k lines of Rust and TypeScript on Tauri v2, 23 releases over two months, MIT and public.

RustTauri v2TypeScriptAI AgentsDeveloper ToolsDesktop App

Open Source Contributions

PRs shipped to repos I don't maintain

mergedonnx/onnx · 20.8k★PR #7920

~600,000x speedup on the Resize operator via separable interpolation

ONNX (Open Neural Network Exchange) is the Linux Foundation AI standard for ML model interoperability, used by PyTorch, TensorFlow, scikit-learn, and every major ML framework. Rewrote the ReferenceEvaluator Resize operator using separable 1-D interpolation, replacing per-output-pixel recursion with vectorized numpy operations. Achieved ~600,000x speedup (15 minutes to 1.5 ms on a typical (1,32,20,20) → (1,32,40,40) bilinear/half_pixel resize) while preserving bit-exact numerical compatibility (max diff <1e-10) across 294 test configurations covering every mode × antialias × coordinate_transformation_mode × shape combination, plus tf_crop_and_resize extrapolation and axes-restricted resizes. Resolved a long-standing performance issue (#6554) open since November 2024. Full 1798-test backend suite passes; ruff and mypy clean.

PythonNumPyONNXLinear AlgebraPerformanceML Infrastructure

Automations

Operational systems running in production

Change-Log Dashboard

● running

Accounting couldn't see what changed per company when a client disputed a bill. Every system, licence and payment change lived in one Slack channel and nowhere else.

952

change records parsed from 1,196 messages · 94% carry a ConnectWise ticket

Python · slackdump · launchd

MTX Ticket Observer

● running

No passive view of ticket activity to feed downstream automation. Polling the PSA adds load and needs credentials.

~130

fields captured per ticket, read-only — the service adds zero requests of its own

Node · Puppeteer · CDP · systemd

Endpoint Provisioning

● running

New-hire endpoint setup was manual and inconsistent across a hybrid Azure AD and Microsoft 365 estate of 500+ identities.

60%

reduction in deployment time

PowerShell · Azure AD · Microsoft 365

Gated M365 Action Engine

◐ building

Routine helpdesk actions — password resets, licence moves — were manual and unlogged.

8

design principles fixed before the first line of code — human approval on every action, append-only hash-chained audit log, no ticket data through a model

Microsoft Graph · GDAP · Node