
hey, i'm luctfy! 👋
i'm a data scientist and data engineer who accidentally fell in love with data. my origin story? petroleum engineering. yes, i was supposed to be drilling for oil, but somehow ended up drilling into datasets instead. honestly? best career pivot ever. 🛢️➡️💻
after graduating from hacktiv8 with distinction (95.63 — not that i'm bragging... okay maybe a little 😅), i've been on a mission to build machine learning solutions that actually work in the real world. not just notebooks that look pretty, but actual deployed systems that make a difference.
my philosophy? engineering over decoration. i write clean code because debugging at 2am isn't my idea of fun. i build explainable models because "the AI said so" isn't a valid business justification. and i make sure my deployments are rock solid because, let's be honest, no one wants to get that 3am pagerduty call. 😴
when i'm not coding...
you'll probably find me exploring new coffee shops (i have strong opinions about pour-overs ☕), playing video games (where i apply the same optimization mindset to my gaming strategies 🎮), or watching tech youtube videos at 2x speed because apparently normal speed is too slow for my brain.
i'm also a huge believer in continuous learning. every week i try to learn something new, whether it's a new library, a new concept, or just a better way to make my terminal look cool. yes, i spent way too much time on my neovim config. no, i don't regret it. 🤓
fun facts about me
- i can explain complex ML concepts using food analogies 🍕
- my spotify wrapped is 80% lo-fi beats and 20% pump-up music for debugging sessions
- i believe the best code is written after the second cup of coffee, not the first
- i've named at least one staging server something ridiculous (sorry, ops team)
- i genuinely enjoy reading documentation. weird flex, i know.
if you've made it this far, you're either very interested or very bored. either way, i appreciate you! feel free to reach out — i'm always down to chat about data, tech, coffee, or why python is clearly superior (fight me, R users 😉).