About

Operations brain,
builder's hands.

I came up running operations and training at national scale, then learned to build the software that fixes the problems I used to manage by hand.

For years my job was making complex operations run: training large teams, standardizing process, and finding where the real friction lived. That background is the whole point. I do not start from "what can the tech do." I start from "what is actually slowing this team down," and I build backward from there.

Today I build complete AI systems end to end: digital twins, multi-agent workflows, internal tools, and the data and automation underneath them. I am not a classically trained engineer. I ship full, working implementations by pairing operational judgment with AI as my build partner, and the results are real apps people use, not prototypes.

I work independently through FlexScaleX LLC, my consulting entity, and I am also open to full-time roles where this mix of operations, implementation, and AI is the job. Coaching youth athletes on the side keeps the other muscle sharp: getting a group of people to buy in, learn fast, and perform under pressure.

How I work
Ship the whole thing

From the data model to the deployed app. I deliver working software, and the proof is always something you can click.

"Should we" before "can we"

Every feature gets a gut check for misuse and false signals before it gets built. I design for honest outputs, including admitting what a system does not know.

AI as leverage, not theater

I use agents and automation where they remove real work, then teach the team to run it after I leave. Adoption is the deliverable.

Perplexity Fellowship

A year inside the Perplexity Fellowship (2024 to 2025), through OneWave AI.

OneWave AI ran a year-long Perplexity Fellowship with unlimited Max licenses, and I drove a big part of it: training teams on the tools and building real workflows they could keep using. Agentic browsing in Comet, scheduled automations once Google Workspace was connected, and a research method that pulls deep results from Perplexity, then cross-checks them against Claude, Gemini, and ChatGPT before I trust the answer.

Leaning all the way into an unlimited premium tool was a no-brainer, and it is a big reason I now work fluently across the whole AI stack instead of just one model.

Tools I reach for

AI I work across:

Claude / Claude Code ChatGPT Gemini Perplexity (+ Comet) Manus Antigravity NotebookLM ElevenLabs Multi-agent orchestration

Build stack (AI writes the code, I architect and ship):

Next.js & React TypeScript PostgreSQL / Neon react-three-fiber Python Vercel Google Cloud HubSpot React Native / Expo