| 🧑🔧 Мастер с опытом | Частный специалист с многолетней практикой в ремонте маникюрной техники |
| ✅ Качество и доступность | Индивидуальный подход и решение "по карману" для каждого клиента |
| 🛠️ Ремонт техники | Блоки, лампы, ручки, вытяжки и другое оборудование |
| 🎁 Гарантии и поддержка | При покупке через меня — дополнительная гарантия и техподдержка |
| 💰 Скидки | Система скидок для новых, постоянных клиентов и салонов |
| 📞 Бесплатная диагностика | Звоните сегодня и получите бесплатную диагностику! |
~ My Work ~
Community Leader
Organized several events and outreach with local communities and business to help international students familiarize with Korean culture!
Skills: Leadership, Communication, Community Building, Teamwork
MeloMochi
During my piano teaching journey, I created MeloMochi, an AI-powered compositional tool that helps students learn music theory through hands-on exploration. I designed the system to generate piano exercises and short pieces that adapt to each student's skill level, combining my experience as a pianist with my machine learning expertise. Using TensorFlow and pretty_midi, I trained models on classical repertoire to create exercises that feel musical while targeting specific technical challenges. The web interface I built with React allows students to interact with the generated pieces, visualize patterns, and even modify them in real-time. Working closely with my students throughout development helped me refine the system to ensure it genuinely supports their learning process, making music theory more engaging and practical.
Skills: Music Generation, TensorFlow, pretty_midi, Adaptive Learning, React, Music Theory, UX Design, Generative ML, Education Tech, Web Audio API
PianoScope
PianoScope is my passion project that combines my love for piano and machine learning. I co-created this AI-powered tool with fellow musicians to help us better understand our playing patterns. Using deep learning and audio processing techniques I implemented in Python and TensorFlow, the system analyzes recordings to detect nuances in timing, dynamics, and pedaling. I built the interactive visualization interface using React, allowing performers to see how these elements evolve.
Skills: Audio Processing, Signal Analysis, Machine Learning, Data Visualization, TensorFlow, React, Python, DSP (Digital Signal Processing), Performance Analytics, Audio Classification
