Fiyinfoluwa J. Ajala. Digital Craftsman & Systems Architect.

Hi, I’m Fiyinfoluwa John Ajala (but please, call me Kodaas).

I am a Software Engineer and Systems Architect. Essentially, that means I spend my days convincing computers to do what I want—sometimes by asking nicely, usually by debugging until 3 AM 🕒.

My philosophy is simple: First Principles 🧠. I don't just copy-paste code from AI (okay, maybe sometimes). I believe in understanding the "physics" of software. Whether it's managing memory manually in C or orchestrating AI agents, I like to know exactly what is happening under the hood.

function recursion(): void {
    console.log("To understand recursion, one must first understand recursion.");
    recursion();
}

The Mission 🚀

I’m passionate about pushing boundaries and exploring new possibilities in tech. From creating dynamic websites to orchestrating the magic behind LLMs (yes, the secret sauce behind smart tech!), I live for turning wild ideas into reality 🚀.

Milestones 🏆

I measure success by impact. Here are the defining moments of my journey so far:

• 🎓 Awarded Best in Technology at Graduation: Recognised for my passion and excellence in the tech field.

• 🌍 Leadership in Action: As the Google Developer Student Lead & Software Director at Anchor University Lagos (2023 - 2024), I led a dynamic team hosting tech events, TEDx seminars, and hackathons, and helped create a learning platform for innovative solutions.

• 🗣️ Effective Communication & Impact: Served as the Public Relations Officer at NACOS (2022 - 2023), where I represented a student body of over 200 and spearheaded initiatives predicted to boost both practical and theoretical computer science skills by 20%.
• 📈 Continuous Professional Growth: Enhanced my skills through prestigious programs like Harvard's CS50 Course and the Microsoft ADC x NACOS Bootcamp. Most recently, I solidified my AI expertise by completing the Generative AI Mastermind by Outskill.

My Flex 😎

Many developers import large AI libraries like TensorFlow and consider their work done. I decided to do it the hard way.

The Self-Driving Car Experiment 🚗 I wanted to understand how neural networks actually learn. So, I built a self-driving car simulation using raw JavaScript and math. No libraries. 🚫

I manually wrote the matrix multiplications and the genetic algorithms. It was like trying to build a car engine using only a screwdriver, but it worked. I taught these little digital cars to drive by letting them crash 💥, evolve 🧬, and try again. It’s basically Darwinism in a web browser.

Watch the chaos (and the success) here:

My Gear (The Battle Station) ⚙️

You can't fight bugs without the right weapons.

• The Brain 💻: 16-inch MacBook Pro (M Series). I need the extra power to run local LLMs without my laptop turning into a drone and flying away.
• The Shield 🎧: Oriamo Space Buds. Noise-cancelling is essential. If I can't hear you, I'm probably debugging.
• The Fuel ☕: Unlimited Coffee. My system uptime is 99.9%, but it is strictly dependent on caffeine intake.
  • (If you want to keep the system running, feel free to fuel the code 👇)
  • ☕ Buy Me A Coffee

FAQ: The "Short Answers" 🙋‍♂️

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