At 21, I joined a banking IT provider as a self-taught full-stack developer.

Within months, I was leading the technical side of a 400-day project — designing databases, connecting modern systems to COBOL mainframes, and mentoring five new employees.

I study computer science full-time while working full-time.

Balancing both means I can’t waste time — every study session has to count.

By using active recall, spaced repetition, and structured deep-work blocks, I consistently rank at the top of my class and even qualified for academic excellence bonus.

I train 4–5× per week and track my recovery with wearables.

My benchmarks: 130kg bench press, 160kg squat, +60kg weighted pull-up, 98ms HRV, 40RHR, VO₂ max ~54.

Through cost-averaging ETFs, investing in individual stocks, disciplined financial habits and building high-income skills early, I crossed a six-figure net worth before age 23.

I launched Output Theory and grew it from 0 to thousands of subscribers in just months — with 30%+ open rates and 15k+ monthly views.

I did this without ads or gimmicks, just by building systems for consistent publishing and value creation.

In six months, I’ve learned 2,800+ words, ~550 kanji, and can read beginner Japanese texts up to JLPT N4 level.

Japanese is my fourth language.

I did this while working and studying full-time, by using the exact learning frameworks I now package into my products: daily spaced repetition, targeted immersion, and compounding practice.

I’ve gone deep on productivity, psychology, finance, and philosophy — but instead of hoarding knowledge, I applied it.

By using an output-first reading system, I turned highlights into notes, notes into actions, and actions into results.

With just one year of professional instruction, I built a system for deliberate practice that allowed me to reach grade 7/8 piano level.

I focused on breaking down complex pieces, drilling fundamentals, and tracking progress like I would in code or the gym.

Music became proof that consistent systems beat raw talent.