Acquired advanced AI engineering knowledge connecting deep learning fundamentals to E-Certification qualification.
Tech stack: Python(PyTorch) / Numpy / Applied Mathematics / Model Optimization / Backpropagation
Database migration (Supabase) and feature improvements for a business support application that centrally manages advertising and listing information across multiple web services.
Tech stack: Go / TypeScript / Supabase
Cross-disciplinary learning covering LLM application threat analysis, multi-agent systems, and RFC-based protocol implementation.
Tech stack: Rust / Python / x86 Assembly / LLM Security / Reverse Engineering
Participated as a software engineer. Developed a management support system based on Domain-Driven Design (DDD). Learned agile development and clean architecture.
Tech stack: Kotlin / TypeScript / SQL / DDD / Agile/Scrum / Clean Architecture
Participated as a DX planner. Created business efficiency improvement proposals from a user perspective.
Tech stack: DX Strategy / Business Process Analysis / User Research
Intensive hands-on training on robust class design using modern C++ standards, and analysis and defense techniques against phishing sites and DDoS attacks.
Tech stack: C++ / PHP / Malware Analysis
Comprehensive program covering data analysis with Python to machine learning implementation and business applications. Honed data analysis skills through Kaggle-style competitions.
Tech stack: Python(Pandas, Scikit-learn) / SQL / Data Science / Machine Learning
Solo website development for a chemical company with patented technology. Handled domain transfer, server selection, SEO improvement, and form implementation on the technical side, and created articles through interviews with technical experts. Currently maintaining the site.
Tech stack: PHP / JavaScript / CSS
Systematically learned from neural network fundamentals to cutting-edge deep learning technologies including CNN, RNN, Transformer, and generative models. JDLA certified course.
Tech stack: Python(PyTorch) / Deep Learning / Transformer / LLM
Completed product planning, technology selection, implementation, and presentation in 3 days. Developed an app to measure the impact of caffeine intake.
Tech stack: JavaScript / CSS