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Learning
I'm a math teacher by training. I work one-on-one with middle and high school students on math and computer science, remote or in person. I use AI behind the scenes to do what good teaching always tries to do, but faster and more precisely: figure out where each student is actually struggling, build problems and explanations that meet them there, and try different angles until something clicks. The student never uses AI in the session. The teaching stays human.
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I started as a classroom teacher, with a technical background that lets me work fluently across AI tools. The Consulting work is hands-on — one-on-one with individual teachers, or in PD sessions with whole school staffs. We focus on the practice, not the product: what actually saves you time, what workflows survive in a real classroom, how to teach students to use AI rather than hide from it. Tool-agnostic, because the tools will keep changing and the teaching will not.
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I build small, useful web software — mostly for teaching, where I know the work from the inside. Interactive lessons, practice tools, lightweight apps that solve a specific classroom problem and don't try to do anything else. AI-assisted development is how I keep the scope small and the turnaround fast: a working version in days, polish in a week. The same approach works for non-educational web work too — landing pages, custom features, anything that needs to ship without ceremony.
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