• I’m interested in: Web Development, Machine Learning, Deep Learning, Problem Solving, Algorithm Optimization
• I’m currently learning: Deep Learning, TensorFlow, PyTorch, Full-Stack Web Development (React, Node.js)
• I’m looking to collaborate on: Open Source Projects, AI/ML Projects, Full-Stack Web Development, Data Science Projects
• How to reach me: Email, LinkedIn
• Pronouns: He/Him
• Fun fact: I enjoy solving coding puzzles and learning new AI techniques!

저는 다음과 같은 장점을 가지고 있습니다:

• 성실함: 저는 맡은 업무를 성실하게 수행하고, 책임감을 가지고 있습니다. 업무를 철저하게 준비하고, 계획을 세워 목표를 달성하기 위해 끊임없이 노력합니다.

• 커뮤니케이션 능력: 다른 사람들과 원활하게 소통할 수 있으며, 의견을 명확하게 표현하고, 상대방의 의견을 경청할 수 있습니다.

• 문제 해결 능력: 문제를 분석하고, 해결책을 찾는 데 능숙합니다. 다양한 관점에서 문제를 바라보며 창의적인 해결책을 제시할 수 있습니다.

• 학습 능력: 새로운 기술과 지식을 빠르게 학습하며, 도전을 두려워하지 않고 지속적으로 성장하려고 합니다.

• I enjoy reading about new technologies and am a huge fan of coding challenges and competitive programming. I also spend a lot of time exploring Deep Learning research papers and trying to implement the ideas myself!

• Python: 85% (TensorFlow, PyTorch, Pandas, Numpy, Scikit-learn)
• C++: 70% (Efficient algorithms, Object-Oriented Programming, Systems Programming)
• JavaScript: 70% (React, Node.js)
• Java: 60% (Spring Boot, Object-Oriented Design)

• Frontend: HTML, CSS, JavaScript, React
• Backend: Node.js, Express.js, Python (Flask, Django)
• Database: MongoDB, MySQL

• Deep Learning Frameworks: TensorFlow, PyTorch
• Machine Learning: Scikit-learn, Keras
• Computer Vision: OpenCV, YOLO
• NLP: Hugging Face, BERT, GPT

• Git, Docker, Kubernetes, Jenkins, Jupyter Notebook

• NVIDIA Deep Learning Institute (DLI) Certified:
  • Deep Learning for Computer Vision
  • Fundamentals of Deep Learning for Multi-GPUs

• Tech: Python, TensorFlow, Keras, OpenCV
• Description: Implemented a Convolutional Neural Network (CNN) to classify images from a custom dataset. Achieved 95% accuracy on the test set.

• Tech: HTML, CSS, JavaScript, React
• Description: A personal portfolio to showcase my projects and achievements, built using React for dynamic components and routing.

• Tech: Node.js, Express, MongoDB, JavaScript
• Description: A task management application with user authentication and CRUD functionalities.

• Tech: Python, TensorFlow, Pandas, Scikit-learn
• Description: Developed a movie recommendation system using collaborative filtering techniques, achieving good results based on user preferences.

• LinkedIn
• Email

"Code is like humor. When you have to explain it, it’s bad." – Cory House