I build small tools and write notes on LLM engineering, computer science, and security. I maintain a technical blog and several learning repositories.

• Blog: https://hanaoverride.github.io
• Focus areas: I usually do various things, but If I really have to pick up themes; Machine Learning(NLP, CV), Security, Full-Stack Web Programming(Python, Next.js), and Linguistics!

• Korean: My Native Language and I usually follow basic principle of writing and speaking, maintaining a fluent and academic tone.
• English: I can speak it fluently — if you want a technical debate in real life, I can accept it. If you want me to answer the questions in the secondary room — I'm ready.
• Japanese: Can do it casually. Maybe I can go on a errand and buy a tofu, a bottle of milk, and a toothpaste. After that I'll return your change.

• Programming Languages: I have used many of them; but the one I actually have expertise in is Python. I'm also interested in C# and Java and have done some projects with them. I could try to read and suggest a code of languages that I don't know much based on the heuristics, but I can't say that's my stack.
• Platforms/Frameworks: I've done personal projects with C++ with transformers, Unity 3D, Next.js, FastAPI, GitHub Pages with Jekyll (minima theme)
• AI/ML: Usually PyTorch, but I can understand some legacy TensorFlow codes.
• Domains: I will graduate the university(Korea National Open University) after this final semester, with expected GPA of 3.4. Plus I've completed YearDreamSchool 5th DataScientist Track to enhance my AI Skills.

• Personal tech/blog (Jekyll on GitHub Pages). Topics include LLM fundamentals, join operation visualizations, study guides, and CTF writeups.

• Study guidance in Korean for improving practical technical English. These series of posts received good reviews on X.

• I've done some handywork during the program and I'm really proud of it, as it is nicely completed so that newcomer follows this cookbook to follow-up basic principles of Machine Learning. If you are Korean, and If you want a basic knowledge about it I really recommend to fully read these documents.

• Converts image-only PDFs into searchable PDFs using EasyOCR + LLM-based correction with overlay output. Includes GUI.

• Algorithms and data structures practice (DP, graph, BFS/DFS, greedy, etc.).

• Added OpenRouter Web Chat integration with additional UI to Unity 3D client; chill with your favorite anime character.

• Team project which I took account of the lead; Fully Functioning FastAPI backend with automated CI/CD integration, plus IaC.

• Team project which I took account of the lead; Next.js with TailwindCSS support.

• LLM engineering: agent programming, prompt design, evaluation, debugging, defending prompt injections, and especially know when to use LLMs.
• Machine Learning: Transformer-based Language models are OK, Vision Models are OK, and I also have interest in Deep-Learning based Chess Engine like LeelaChessZero.(I've tried with orthodox minimax algorithm)
• OCR and document processing: robust pipelines, post-OCR correction, searchability
• Computer science fundamentals: algorithms, data structures, joins and query reasoning
• Security/CTF: writeups and practical problem solving.
• Technical writing and learning workflows