Most people who want to understand AI are told they can't — that it requires a PhD, years of mathematical training, or a tolerance for impenetrable jargon. That is simply not true. It requires a good teacher.

I have taught AI and mathematics to students who started with genuine confusion and ended up doing original research at Yale and UPenn. I adapt to where you are — your background, your pace, your goals. The instruction is rigorous, clear, and built around real understanding, not surface familiarity.

What I Teach

01
AI & Machine Learning

For business leaders and professionals who need genuine technical understanding — not just the ability to talk about AI in meetings.

  • How machine learning models actually work
  • Supervised, unsupervised & reinforcement learning
  • Neural networks, CNNs, NLP, transformers
  • Bias, fairness & model evaluation
  • Practical AI ethics from first principles
  • Reading & interpreting model outputs
02
Mathematics

From foundational algebra through multivariable calculus — taught with rigor and with an eye toward its applications in data science and AI.

  • Algebra & pre-calculus foundations
  • Calculus I, II & III (through multivariable)
  • Linear algebra for machine learning
  • Probability & statistics
  • Discrete mathematics & logic
  • Mathematical proof and reasoning
03
Python & CS Essentials

Programming for people who want to understand what they are building — not just copy-paste solutions from Stack Overflow.

  • Python from fundamentals to fluency
  • Data structures & algorithms
  • NumPy, Pandas, Matplotlib
  • Scikit-learn & model implementation
  • Jupyter notebooks & real-world datasets
  • Computer science fundamentals

How It Works

One-on-One Sessions

All instruction is private and personalized. Sessions run 60 or 90 minutes and are conducted over video call or in person in New York City.

Custom Curriculum

Every engagement begins with a diagnostic conversation. I build a curriculum around your specific goals, background, and available time — no templates.

Real Materials

We work with real datasets, real code, and real mathematical problems. Understanding is built through doing — not through slides and definitions.

Ongoing Support

Between sessions, I'm available for questions. Progress is tracked and curriculum adapts as you advance. The goal is genuine competence, not false confidence.

Who This Is For

Business leaders who make decisions about AI products and want to actually understand what they're deciding about. Not enough to become engineers — enough to ask the right questions, evaluate vendor claims, and lead with credibility.

Professionals re-entering quantitative fields, pivoting into data science, or preparing for graduate programs in statistics, CS, or AI.

Students from high school through graduate level who want real understanding — in mathematics, computer science, or AI — and benefit from instruction that meets them where they are.

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