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Find out more about Ayo

• 1) When and why did you develop an interest in your chosen field?

  Honestly, it started back in university when I was trying to get a model to recognize handwritten digits. It failed like ten times before it finally worked, and that moment just got me. I wanted to understand why it worked. That curiosity never really left, and here I am years later still chasing that same feeling every time I build something new.

• 2) What makes you passionate about your subject?

  Machine learning sits right at the intersection of math, coding, and real-world problem-solving. You're not just writing code, you're building something that actually learns. That never gets old to me. Whether it's a recommendation system, prediction, or a classification-based project, knowing the impact it can have on real people keeps me genuinely excited about the field.

• 3) What do you like about tutoring? What makes you a "Superprof"?

  I like that moment when something finally clicks for a student. You can literally see it on their faces. What makes me different, I think, is that I don't just teach theory; I bring real projects and actual work examples into every session. People learn faster when they see something that matters, not just textbook exercises.

• 4) Do you have any role models, a teacher that inspired you?

  Yeah, one of my teachers in grad school. He never made you feel stupid for not knowing something. He'd say "good question" and actually mean it, then break things down until it made sense. That stuck with me. I try to bring that same patience into my sessions, especially when students are just starting out.

• 5) What are your keys to success?

  Three things, honestly: stay curious, build real stuff, and don't be afraid to get things wrong. I also think consistency beats intensity; showing up and practicing a little every day will take you further than cramming. And ask questions. Lots of them.