Illustrative total at the displayed price, not verified revenue. Discounts, free enrollments, subscriptions, and refunds mean actual sales and earnings can differ.
Public listing checked September 15, 2026. Price shown in USD; pricing and enrollment figures can change.
At this point in my life, purpose is worth far more than money.
Sometimes I get odd looks when I say I’m looking for a developer relations position. But I’ve never believed there’s a job beneath me. I’ll take out the trash if that’s what needs doing.
I can also contribute at a higher level when asked—drawing on years of building companies, writing software, and teaching. I’m happy to roll up my sleeves wherever I’m useful.
I miss conferences. I miss speaking, walking the expo hall, meeting companies, taking pictures with people and fans, and signing books. Most of all, I miss educating people, face to face.
I’m looking for an AI Developer Relations role at a respected lab because this is work I care about. I want purpose. I want passion. I want to be back in the room.
AI editorial portrait · The stage feels like home.
My offer to the right company
Give me six months.
Let’s agree on clear goals up front. If I don’t double every one of those goals in six months, you don’t have to pay me.
Find a new employee who comes with that guarantee.
I’m deeply versed in LLM architecture and AI tooling, from model inference and agent orchestration to MCP and multi-provider routing. I build my own tools and contribute upstream to the ones other developers depend on. You can inspect my code, tests, and the maintainer reviews.
Public GitHub records checked September 15, 2026. Each name is counted once; the four featured names above are excluded.
A decade of hands-on AI.
I have 10 years of hands-on machine learning and artificial intelligence experience, beginning with PHP-ML in 2016. Today I build LLM infrastructure, agent systems, and developer tools that I use myself. I know what it takes to turn an API into something developers can actually ship.
55+ speaking engagements.
From eBay’s Developers Conference to Affiliate Summit and NamesCon, I’ve delivered keynotes, technical sessions, and live product demos. Many have centered on building in public: showing the work, sharing the lessons, and making the technology real for the people in the room.
I’ve appeared on 20+ other people’s podcasts and produced hundreds of my own podcast episodes. I’ve interviewed people including Matt Mullenweg, Tim Ferriss, and Seth Godin. Asking good questions and making complex ideas understandable is a big part of what I love.
Teaching people to do the work.
I’ve created numerous training guides, taught roughly 30,000 students across two Udemy courses, and made about 25 software walkthroughs. My goal stays the same: give someone the understanding and confidence to build something of their own.
I built AIRanks to measure which brands AI mentions, which sites it cites, and where those links lead. Explore public rankings, domain reports, and the methodology behind them.
A twin-stick, vertical run-and-gun inspired by Ikari Warriors. Built in Godot with a deterministic simulation that produces identical results across platforms.
A benchmark that asks AI agents to work through an increasingly difficult API task ladder using the Bruno CLI. Seeded tasks and exact output checks keep the scoring objective.
The PHP-native take on an AI coding partner. Paider brings file edits, shell tools, Laravel-aware commands, and a transparent cost ledger to the terminal. Built in public, with its alpha status and progress documented openly.
Picaso designed this site, from its Vue interfaces to its WebGPU atmosphere. This playbook turns ambitious ideas into expressive, working experiences with Three.js, particles, reactive lighting, and dimensional motion. Every interaction gets its moment, while readable content, keyboard access, reduced motion, and rendering fallbacks stay part of the craft.
Brings a database architect’s approach to MariaDB. Maria investigates the actual workload, then works on schema design, column types, indexes, slow queries, locking, memory, and recovery. Changes are checked against measured behavior so faster queries still return the right results.
Handles Laravel engineering from Eloquent queries to queues, Redis, Octane, and real-time events. Taytay starts with the installed application and its versions, implements changes using framework conventions, and verifies performance and correctness in the context where the code actually runs.
Turns a goal into a measured improvement loop: change something, run a check, and keep or discard the result. It supports debugging, optimization, research, and regression checks, with iteration limits and a record of each experiment so progress is visible and repeatable.
Asks several AI models to critique an implemented interface, combines overlapping findings, and turns the useful ones into fixes. Each round reviews the updated design while preserving approved brand choices. It is a structured way to improve usability, readability, motion, and visual consistency.
Puts a difficult technical question before a council of AI models that challenge one another’s claims. A chair checks the evidence, separates verified findings from theories, and records disagreements. When the evidence cannot settle the question, the council identifies the experiment that could.
Runs a review-and-improve loop for Godot games using verified screenshots and checks of the underlying simulation. Reviewers look for concrete gaps in presentation, behavior, and feel; proposed fixes are checked against the code, implemented, tested, and reviewed again without discarding good work blindly.
Tests a product by following the complete journey of a new user. It walks through signup, email verification, access gates, and the final promised action, looking for failures between otherwise working components. The workflow also cleans up test credentials and records what broke.
Extracts reusable lessons from a working session before they disappear with the conversation. It looks for recurring bugs, surprising failures, useful techniques, and corrected preferences, then turns durable findings into skills. Project-specific details stay in project documentation instead of cluttering the shared library.
Prepares a handoff before an agent session ends or its context is cleared. It captures reusable lessons, writes the project’s current state and next steps into a fresh handoff, and can document a meaningful turning point in a build log. This is a session resume, not a job résumé.
Resumes work from the newest handoff for the current project. Pickup reads the saved decisions and open tasks, checks whether important facts or priorities have changed, and looks for work completed since the handoff. It helps a new session continue without repeating stale assumptions.
Keeps a good side idea from derailing the task already underway. It records the idea, context, affected systems, and any blockers in a project queue, then returns to the active work. Corrections and changes to the current task still get handled immediately.
Explains an unfamiliar idea in plain language using one everyday comparison and no more than four sentences. It starts with what the idea is for, strips out unnecessary jargon, and gives the reader the consequence that matters. Useful when an accurate explanation has become harder to understand than the problem.
Checks a repository before it becomes public. It examines Git history for secrets, looks for private infrastructure details, checks licensing and public setup instructions, and verifies that a stranger can use the published artifact. Findings support the release decision rather than treating a clean working directory as proof.
Prepares skills from a private library for a public repository. It checks authorship, removes private details, catches paths that break when a skill is renamed, and keeps public copies separate from installed originals. It also checks that the README accurately describes what the included scripts do.
Coordinates research, drafting, and citation checks for AiBook chapters in my voice. Each chapter follows a defined structure, uses verified sources and real examples, and flags missing evidence. The workflow checks that the finished chapter was actually written to the manuscript, with humor grounded in facts.
Turns a finished manuscript and cover art into Kindle and print production files. It builds the interior before calculating the cover, handles paperback and hardcover geometry, validates the eBook, and checks rendered pages. The handover includes clearly labeled upload files, proofs, and a repeatable build.
Coordinates the broader launch of a book: editorial review, chapter illustrations, cover production, file builds, and marketing materials. Its phased workflow brings together the manuscript, Amazon listing, social graphics, and launch copy, with author review points as the publication package takes shape.
Diagnoses print covers that Amazon KDP keeps rejecting. It reads the actual rejection reason, checks barcode space, text clearances, spine placement, and the different geometry of paperback and hardcover wraps. The fix is verified against the rendered cover rather than trusting dimensions in the source script.
Creates paginated PDFs from Markdown or HTML using a repeatable macOS workflow. It handles page budgets, typography, page breaks, and layout checks for reports, résumés, and other documents. Visual inspection and text checks help catch files that look correct but contain broken pagination or searchable text.
Hands-on engineering across LLM infrastructure, agent systems, and open-source developer tools. The work is still the part I love.
AI infrastructure & open source
2012–2015From beta to enterprise.
I founded PAR Program, built a team of twelve, and grew an email-marketing and customer-data platform from its first beta accounts to enterprise customers. Acquired by GoSocial in 2015.
Founder & CEO · PAR Program
2007A small team. A big idea.
I co-founded AuctionAds, an API-driven platform for live eBay auction ads. Its caching architecture earned eBay’s Star Developer Award. MediaWhiz acquired the business four months after launch.
Co-founder · AuctionAds
1999–2003Learn the systems. Earn the trust.
At Wells Fargo Financial, I reviewed Linux infrastructure security for bank acquisitions and helped determine which systems could enter production. A foundation I still build on.
Senior Linux Security Engineer
Built from the ground up
Two companies. Built. Sold.
Products that found their customers—and their next chapter.
Acquisition details
AuctionAds · 2007
$17 million · MediaWhiz
PAR Program · 2015
$12 million · GoSocial
Ideas are better out loud.
Keynotes, live demos, and conversations with people who build. From Affiliate Summit and NamesCon to eBay’s developer conference.
The story behind the work, and the ideas I want to put in your hands. Read the PDFs for free, or make room on your bookshelf.
Artificial intelligence · 2026
AiBook
A human survival guide to the AI era, with an engineer’s perspective and a sense of humor. Sixty-two chapters on the tools, the possibilities, and the ways AI is changing how we create and work.
My unfiltered story of finding a way forward and building a business on the internet. The risks, the mistakes, the improbable turns—and the lessons I had to learn for myself.
An everyday guide to the habits you are training without realizing it. Game mechanics, character sheets, and deliberate practice become tools for choosing who you become.
A conspiracy thriller about an inherited amulet, a hunted bloodline, and a father racing across cities to save his daughters. Ancient secrets collide with a very modern life.
Build an audience you own with the Bait, Persona, and Sequence system. Practical lessons in email copy, lead capture, and a twenty-day follow-up sequence, expanded from the 2013 original.