About / Toni Montez

I help people turn business ideas and messy operations into systems they can actually use.

My background crosses full-stack software engineering, Microsoft AI and solutions architecture work, founder projects, business operations, AI/ML training, and coaching. The useful thread is simple: understand the real problem, shape the path, build the system, and leave the owner with something they can run.

software

JPMorgan Chase / full-stack engineering

Large systems teach you that a useful application has to survive real users, shared data, APIs, integrations, review, and handoff.

Build clear paths, not just screens.

AI & cloud

Microsoft / solutions architecture

Business and technical work meet in discovery, constraints, stakeholder language, cloud paths, and practical AI adoption.

Translate business needs into usable technical systems.

AI/ML

Texas McCombs / UT Austin PGP AI/ML

Forecasting, classification, RAG, deep learning, and computer vision all need different data, metrics, risks, and review boundaries.

Use AI where it supports a real business decision.

founder / operator

Omnexus / AMT Fitness / 300+ clients

Founder work and coaching both teach the same lesson: people need the next step to be visible, usable, and owned.

Build systems that can be operated after the build is done.

AI/ML / business application

AI should make the business clearer, not harder to trust.

I work around AI and cloud in my professional life, and I have trained through business-applied AI/ML projects at Texas McCombs / UT Austin. The consulting version stays practical: source material, workflow, model choice when needed, review boundaries, and a human-owned operating path.

program artifacts

forecast

RF sales planning

RAG

k=3 retrieval grounding

failure

0.837 test recall

deploy

API Flask + UI

What that means for clients

Bring the thing you want to build or the process you cannot keep carrying manually.

Websites, apps, admin portals, AI-supported workflows, migrations, and business setup all start the same way: get the idea out of your head, make the path visible, and build the first useful version.

Start with a Diagnostic