I've built web products with real traffic, turned a local-service idea into paying recurring customers, sold and executed a $500 hands-on business setup, run a live traffic-intelligence platform that models Phoenix freeways 24/7, designed and ran an original research study with 60+ participants, and trained models on Google's TPU Research Cloud.
Even this site is proof — live payments, intake, and order tracking, shipped in a day. That operator experience is what I bring into every Small Business Fix sprint.
Can he actually get attention?
WeSearch traffic — 200K+ monthly
Can he turn an idea into money?
Ah Crap Cleanup — recurring paying customers
Can he help a real client?
Local kids braider — $500 setup, client name withheld
Does he understand AI deeply?
LOLM research + compute-backed development
Can he handle real data?
Phoenix Traffic Intelligence — live 24/7 modeling
Does he do original work?
EGC — designed & ran a 60+ participant study
Can he ship fast?
This site — live payments, deployed in a day
Does he build systems, not just advice?
Qira projects — payment flows, audits, automation
Visibility is not theoretical to me. I've operated public web products people actually find, use, and return to.
Built and operated a public news/research platform that has reached 200K+ monthly traffic, aggregating 700+ sources into a free, no-paywall, no-tracking product.
What this proves
I understand attention, publishing surfaces, SEO, and getting people to a product they'll come back to.
wesearch.press ↗Local businesses don't need vague advice. They need a clear offer, simple booking, trust signals, follow-up, and a working payment flow.
Turned a local-service idea into a real Chandler cleanup business — founder pricing, photo-based quote flow, recurring route logic, service menu, customer portal, and before/after job proof on every visit.
What this proves
I've done the exact work local businesses need: cleaner offer, easier booking, trust from proof, and a payment path that actually converts.
ahcrapcleanup.com ↗Small Business Fix is not hypothetical. It started as a real $500 hands-on setup for a real business owner.
First paid sprint, running right now: a kids-braid specialist with a real, defensible niche that was invisible everywhere it mattered. The audit ran the actual searches local parents run, found no Google Business Profile, reviews trapped inside a marketplace deal, deposits protecting the cheap services while larger appointments had none, and services with broken durations creating impossible calendar slots. Client name withheld until approved.
What this proves
This is the method live on a real business: audit first, written findings, client approval before every change, and a change log where every edit is verified on the live site.
AI is not a buzzword here. I use systems thinking, automation, and technical execution to make businesses easier to understand, trust, and buy from.
Accepted into Google's TPU Research Cloud and granted free Cloud TPU quota for the lolm-tpu-research project — TPU v4, v5e, and v6e capacity across multiple zones — supporting independent LLM/model research.
What this proves
The AI/systems side isn't buzzwords. It comes from hands-on model infrastructure, experimentation, and technical execution.
TPU Research Cloud ↗Independent LLM/model research and infrastructure work with public repo — configs, dashboard, training scripts, TPU/GPU setup, docs, paper, results, and tests.
Encryption and proof-artifact system built across web, CLI, desktop, and Android. Structured messages, signed bundles, SHA-256 manifests, HMAC signatures, and policy comparison.
What this proves
I think through trust, verification, and workflow end-to-end — the same operator mindset applied to your business setup.
secure.imagineqira.com ↗Live traffic-intelligence platform modeling Phoenix freeway corridors in real time — ADOT AZ-511, Phoenix Open Data, and HERE routing feeds driving an oscillator-network model with Monte Carlo simulation and BPR delay math. It has logged hundreds of thousands of corridor snapshots, runs AI analysis on the network every two minutes, and models cascade risk, corridor resilience, and incident impact. It is live right now — go look.
What this proves
I don't just make dashboards. I build systems that ingest live data, model it with real math, and keep running 24/7 without me.
pti.imagineqira.com ↗Designed and ran an original empirical study on expressive states — a testable equation, a counterbalanced 7-item instrument, consent flow, and a live data pipeline — with 60+ human participants and measurable effects. Built the entire research apparatus myself: study design, instrumentation, data collection, and analysis.
What this proves
I build measurement systems from scratch and let the data speak. It's the same instinct I apply to your business: instrument it, find where it leaks, fix the biggest leak first.
imagineqira.com ↗Shipped and operated across service businesses, AI systems, research tools, payment flows, and customer-facing web apps.
Parent company I co-founded with my brother Brandyn — a portfolio of public projects including Codey, QEV, My Digital, Oort, WeSearch Press, Are We Friends, and more, running on infrastructure we operate ourselves.
What this proves
A consistent record of taking ideas from concept to shipped, operating product.
imagineqira.com ↗AI coding assistant shipped as a complete SaaS — accounts, Stripe billing, background job queues, an autonomous task engine, and an API — running on infrastructure I operate.
What this proves
I've built and operated the exact stack AI founders are selling — front end, API, payments, and operations — which is why the AI Launch Sprint can audit yours credibly.
codey.imagineqira.com ↗The site you're reading is its own case study. Prototyped with AI tooling, then taken over by hand: vendor lock-in stripped out, payments rewired to a Stripe account I control, webhook order pipeline registered and verified, and deployed globally — all in a single day.
What this proves
This is the exact speed and ownership you get in a sprint. Offer, checkout, intake, and follow-up — live and taking real payments while competitors are still scheduling discovery calls.
Unclear offer
Weak pricing
Confusing booking
Messy payment flow
Poor follow-up
Missing reviews
Random content
No retention system
No AI workflow
The goal is to turn scattered business pieces into a clearer, more trusted, more sellable system.