Product engineer in Raleigh, North Carolina
I take ideas from a working prototype to deployed software: the interface people use, the services and data behind it, and the tools agents use to work with it.
All three are live on massivenerds.com. I designed each one, wrote the frontend and backend, deployed it, and kept improving it after people started using it.
A workout tracker with an AI workout builder and an OAuth-protected MCP server. Agents read my training data and create plans. I open those plans in the app, start a session, and log what I actually do.
| My role | Product design and full-stack development |
|---|---|
| Built with | Next.js, TypeScript, Prisma, PostgreSQL |
| Agent and AI work | MCP, OAuth scopes, structured model output |
Pick a card to estimate the story. Your teammates will vote too.
Real-time sprint estimation for Agile teams. Create a room and share the link. Everyone votes on story points privately, then the cards flip together, so the first number spoken doesn't anchor the rest of the team. Dev teams at several companies used it for years in their Scrum planning sessions.
| My role | Design and full-stack development |
|---|---|
| Running since | October 2020 |
| Built with | React, Socket.IO, Express on Fly.io |
| Features | Fibonacci voting, moderators, a simultaneous reveal, and a celebration when everyone agrees |
A real-time retrospective board for distributed teams. Everyone adds what went well, what to improve, and the actions to take, and the whole team sees each card the moment it's written. At its peak, more than 50 people used it every week.
| My role | Design and full-stack development |
|---|---|
| Running since | September 2017 |
| Built with | Angular, Firebase Realtime Database |
| Usage | More than 50 weekly active users at its peak |
I build interfaces and integration systems, and I help explore how AI agents fit into everyday engineering, from investigation to reviewed, tested changes.
Use AI agents to plan, implement, review, and validate production work, and check their output myself. Led an engineering session on this workflow, including how to steer agents and use Codex harness features.
Build Pendo Data Sync's frontend as the integrations team's lead frontend engineer, including the direct connection to Snowflake. Make backend changes when needed.
About the productDrove the migration and deployment work that brought Pendo's Tray-powered integrations to Japan, after earlier setting up Tray environments for other regions.
Launch announcementDiagnosed and fixed a HubSpot sync problem that consumed excess Tray tasks. Corrected the sync's behavior and reduced its task usage.
About the productThere are three different jobs here: giving agents an interface they can use, putting a model inside the product, and using coding agents to do the engineering. The notes below are keyed to the drawing.
Soma exposes scoped MCP tools for reading training history and creating workout plans. Codex and Claude work with the same product data that powers the app.
Soma's AI builder turns training context into a structured proposal. Application code validates it, and the user reviews and accepts it before it becomes a plan.
I use Claude Code, Codex, and Cursor for scoped engineering work, then check the code, the tests, and the product behavior myself.
Toolkit: MCP, model integration, TypeScript, React and Next.js, PostgreSQL, Claude Code and Codex
I started in data integration and production support. Since then I've spent my career making complicated software easier to use.
I'm a dad, and most of what I build outside work is for the people at home: my kids, their friends, and occasionally the dog. It all runs on hardware I put together myself.
My kids and their friends play on three Minecraft servers I run at home. Their feature requests arrive loudly, in person, and without a ticket. Command Block is how I keep up.
| Requested | Shipped |
|---|---|
| "Can you bring me to where they are?" | Teleports to other players, saved places like Base, or coordinates |
| "Make it daytime. Forever." | An always-day toggle, plus time and weather controls |
| "Where's the nearest village?" | A structure finder that can hop onward to find another |
| "Five more minutes!" | Play timers with warnings and a +10 button |
| "Is the server even on?" | servers.massivenerds.com |
Command Block is a phone-first web app written in plain Node and vanilla JavaScript, with no dependencies. It sends commands to the servers over RCON and sits behind Cloudflare Zero Trust, so only I can use it.
The public servers page shows which world is live and where the players are gathered around a 3D pixel campfire. Their name tags light up when they're online. It also lists every mod and links the modpacks and a live map of each world.
A Synology NAS in my network closet runs everything I self-host. Gitea holds my source code, including this site. Immich keeps the family photos. It also runs the three Minecraft servers, their live maps, and Command Block.
Public pages reach it through Cloudflare Tunnel, and private tools sit behind Zero Trust sign-in, so nothing on the home network is exposed directly. The closet itself is a slower project: turning a tangle of cables into something r/homelab would approve of.
| Hardware | Synology DS920+, 8 GB RAM, SSD cache |
|---|---|
| Storage | Four drives in SHR, about 10.9 TB usable |
| Runs | Gitea, Immich, three Minecraft servers, world maps, Command Block, uptime monitoring |
| Access | Cloudflare Tunnel, Zero Trust, Tailscale |
I like building PCs for the same reason I like building software: choose the parts, route everything cleanly, then confirm the memory actually runs at its rated speed. This AM5 build is my daily machine. Its RTX 3080 recently made way for a Radeon RX 9070 XT.
| Key | Part | Model |
|---|---|---|
| A | Processor | AMD Ryzen 7 9800X3D |
| B | Motherboard | ASUS ROG Strix X870E-E Gaming WiFi |
| C | Memory | 64 GB DDR5-6000 CL36, G.Skill Ripjaws S5 |
| D | Graphics | Gigabyte Radeon RX 9070 XT |
| E | Storage | Samsung 990 Pro 1 TB, 960 EVO 250 GB, WD Red 8 TB |
| F | Cooling | Cooler Master 360 mm liquid cooler |
| G | Power | Corsair RM750x, 750 W Gold |
| H | Case | Lian Li Lancool 217, black and walnut |
Luna is a lilac French Bulldog, born September 25, 2025. She joined the family that December and has signed off on every sheet in this set, mostly from the floor.
| Breed | French Bulldog |
|---|---|
| Color | Lilac |
| Responsibilities | Floor-level inspection, napping near the desk |
I'm based in the Raleigh area and work on frontend and integration experiences at Pendo. Outside work, I build software for my own ideas, experiment with agents and new models, and keep the home lab running. I like work where thoughtful design and reliable engineering meet.
| Rev | Date | Description |
|---|---|---|
| C | 2026-10 | Blueprint edition |
| B | 2026-09 | River edition |
| A | 2026-09 | Editorial edition |