Built by curiosity. Proven in production.
I'm Jeannine, founder of MadamQ. I build AI systems for a living, and I started in a family metal shop.
The route here ran through biology and pre-med, technology sales, an M.B.A. in Business Intelligence & Analytics, and a decade of data science and AI engineering — designing, building, and shipping systems that enterprises depend on.
That order is the reverse of how robotics is usually done. The convention is to build in software and meet physical reality late, which is precisely where the gap opens. I work backwards: start from the problem, then map the solution to what is actually being solved for. It's a traditional analytics approach, and it isn't unique to me. The combination is.
I didn't plan it this way. But looking back, every unexpected turn was gathering a piece of the same puzzle, in close to the right order.
My first systems were made of metal
I got my first job by making fun of my father's accounting. He was scribbling on a post-it note in our family's miscellaneous metal fabrication and art deco design shop, and I asked what the chicken scratch was about. He said he was glad I asked — and offered to pay me to learn QuickBooks and take over his books.
Accounting became drawings. Drawings became cut metal. Eventually I was helping turn an idea into something you could stand in front of and touch.
The shop taught me to think through what making something actually requires: the materials, the sequence, the constraints, and the details that decide whether the thing works once it leaves the drawing.
I thought I was going to be a doctor
I was the first person in my family to go to college. I studied biology on a pre-med track because I wanted to understand the human body and use that to save lives.
Anatomy and physiology gave me a way to think about complex systems — how parts interact, how they adapt, and how a problem in one place reveals itself somewhere else entirely. It made things intuitive for me.
While I was preparing for the MCAT I took a sales job at a global technology company. It was supposed to be an interlude. Instead I found myself learning software, hardware, cloud, infrastructure, networking, and mobility, all day, every day. I fell in love with the technology I had been hired to sell.
Curiosity became a career
I went back to school for an M.B.A. in Business Intelligence & Analytics, and found data mining, data science, and machine learning waiting there.
I hadn't given up on medicine. Partway through that degree I was working in an emergency room, still sitting the MCAT, still building a résumé for medical school — and building a technology career at the same time.
Then I observed a robot-assisted surgery to remove lung cancer from a patient. Seeing engineering and medicine meet that directly changed the kind of value I wanted my work to create. I couldn't stop thinking about what else might be possible, or about how I could be part of something that profound.
So I taught myself Python, completed a year of graduate computer engineering prerequisites, and kept studying engineering and AI independently as the work got more technical.
I came into engineering through analytics, with questions I wanted answered and things I wanted to build. Learning to make them work led to learning how to deploy, secure, and support them.
Experience that connects
Since then I've worked as a Lead Data Scientist and AI Engineer, designing and delivering systems across manufacturing, telecommunications, healthcare, and the public sector: finding patterns across collections too large to sort by hand, detecting faults in networks where the component reporting the error is almost never the one causing it, using vision and language models to read engineering drawings that were never meant to be machine-readable, and automating processes that consume hours of people's working lives.
Today that includes machine learning platform engineering — the infrastructure, serving systems, and evaluation that make AI usable in production rather than impressive in a demo.
Some of it has brought me back to familiar ground. Teaching a model to interpret a technical drawing and work out what building the part would require sent me straight back to the metal shop. My biology education found its way into clinical analytics, and now into humanoid robotics research.
What once looked like separate directions turned out to be one body of experience: understand the problem, work through its constraints, and build something that does the job and returns more than it cost.
I respect the confidentiality of the organizations I work with, and I'll bring the same discretion to yours. What matters here is only this: the systems went into production, their results were confirmed by the people who owned them, and I hold myself accountable for whether what I build still solves the problem it was made for. I measure my work by the value it returns — and the dollars follow.
Why MadamQ exists
Running a business means doing the work and managing everything around it — answering questions, returning calls, booking appointments, chasing follow-ups, managing people, and a dozen things you never started the business expecting to do. Somewhere in there you are supposed to find time to think about what comes next, and have a life.
I know what moving between those looks like. I grew up helping my father run a small business, and I am building one now.
MadamQ exists to make practical AI reachable for businesses that don't have an AI engineering team in the budget — so they can grow alongside this technology rather than be overtaken by it.
That starts with Quinn. When you're under a sink, on a roof, or mid-colour on a client who chose today to dye her own hair pink, answering the phone means stopping the work in front of you. Letting it ring means losing the next customer. Quinn answers, takes the message, and books the appointment, so your business responds while you stay on the job.
The technology matters. What it gives back matters more — time, revenue, room to grow, or simply fewer interruptions in an already full day. The evening when the work is done, your phone stays face down, and you watch TV on the couch with your spouse while someone else takes the call.
Building toward a longer horizon
Alongside the services, I'm developing a humanoid robotics architecture modelled on human anatomy and physiology — a 696-muscle architecture exploring how physiological data can inform neuromuscular control at biological time scales. It draws on the same three interests that have followed me from the start: physical fabrication, the human body, and intelligent systems.
The long-term goal is a machine that can work in dangerous places — eventually entering a collapsed building and carrying someone out, so a first responder doesn't have to risk their life going in after them. There is far more I expect this system to do — but at the highest level, I expect it to help the people around it live fuller lives. That is an ambition directing ongoing research, and reaching it will take substantial engineering, testing, and collaboration.
The AI services arm is not a detour from that; it's how the research gets funded. And each service has to earn its place twice — by being worth paying for on its own, and by doing something you didn't know you could buy.
More on the research →More room for what you're building
You didn't start a business so the business could own you. You started it to make your own decisions and build a better life on your own terms. I demand that of everything I build: more freedom to do exactly that.
I bring the curiosity of someone who loves this work, the instincts of someone who grew up making things, and the experience of an engineer who knows what a system needs in order to hold up long after it launches.
You don't have to love technology the way I do, but you will love the value you receive. You have my word on it.
So the next time it rings while your hands are full — let it. Quinn will get it.
MadamQ Bio AI, LLC is an Ohio limited liability company based in Canton, Ohio.