I'm a passionate learner and builder with a diverse skill set, bridging the worlds of Web Development, Machine Learning, and Deep Learning. I thrive on solving complex problems, optimizing algorithms, and crafting user-friendly interfaces. Currently, I'm expanding my expertise through the NVIDIA AI Academy, focusing on cutting-edge AI/ML techniques.

• 💡 Interests: Web Development, Machine Learning, Deep Learning, UI/UX Design, Problem Solving, Algorithm Optimization
• 🌱 Currently Learning: Deep Learning, TensorFlow, PyTorch, Full-Stack Web Development (React, Node.js), Advanced AI/ML Techniques at the NVIDIA AI Academy, and the latest in AI and Game Development.
• 🤝 Looking to Collaborate On: Open Source Projects, AI/ML Projects, Full-Stack Web Development, Data Science Projects, Game Development Projects.
• 📫 Reach Me: Email, LinkedIn, Hugging Face
• 🗣️ Pronouns: He/Him
• ✨ Fun Fact: I enjoy tackling coding challenges, exploring new AI techniques, and designing intuitive user experiences!

I bring these strengths to the table:

• 🎯 Diligence: I'm committed to excellence, ensuring thorough preparation and consistent effort in all my endeavors.
• 🗣️ Communication: I articulate my ideas clearly, actively listen, and foster collaboration.
• 🧠 Problem-Solving: I excel at analyzing problems, thinking creatively, and crafting effective solutions.
• 🚀 Adaptability & Learning: I quickly grasp new concepts, eagerly seek new knowledge, and embrace challenges.

• I love diving into new technologies, participating in coding competitions, and implementing the latest deep learning research. I also find joy in building web applications, focusing on user-centered design, and experimenting with game development!

• 🐍 Python: (TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn)
• 🧰 C++: (Efficient Algorithms, Object-Oriented Programming, Systems Programming)
• 📜 JavaScript: (React, Node.js)
• ☕ Java: (Spring Boot, Object-Oriented Design)
• 🎮 C#: (Unity, Unreal Engine)

• 🌐 Frontend: HTML5, CSS3, JavaScript, React.js
• ⚙️ Backend: Node.js, Express.js
• 🗄️ Database: MongoDB, MySQL, Supabase

• 🧠 Deep Learning Frameworks: TensorFlow, PyTorch
• 🤖 Machine Learning: Scikit-learn, Keras
• 👁️ Computer Vision: OpenCV, Ultralytics YOLO, SAM (Segment Anything Model)
• 🗣️ NLP: Hugging Face, BERT, GPT, Gemma (Google), Llama

• 🛠️ Git, Docker, Kubernetes, Jenkins, Jupyter Notebook, Photoshop, Illustrator, Figma, Pygame, Unity, Unreal Engine

• 🏆 Deep Learning for Computer Vision
• 🏆 Fundamentals of Deep Learning for Multi-GPUs
• 🏆 Applications of AI for Predictive Maintenance (January 2025)
• 🏆 Building AI-Based Cybersecurity Pipelines (January 2025)
• 🏆 Building Conversational AI Applications (January 2025)
• 🏆 Building LLM Applications With Prompt Engineering (January 2025)
• 🏆 Generative AI with Diffusion Models (January 2025)
• 🏆 Transformer-Based Natural Language Processing Applications (January 2025)
• 🏆 Accelerating CUDA C Applications with Multiple GPUs (December 2024)
• 🏆 Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (December 2024)
• 🏆 Model Parallelism: Building and Deploying Large Neural Networks (December 2024)
• 🏆 Accelerating Data Engineering Pipelines (November 2024)
• 🏆 Fundamentals of Accelerated Computing with CUDA C/C++ (November 2024)
• 🏆 Fundamentals of Accelerated Computing with CUDA Python (November 2024)
• 🏆 Fundamentals of Accelerated Data Science (November 2024)
• 🏆 Fundamentals of Deep Learning (November 2024)

• 🎨 Web Design Technician (National Technical Qualification)
• 👷 Industrial Safety Engineer (National Technical Qualification)
• 🗂️ Word Processor, Korean Chamber of Commerce and Industry
• 💻 Computer Utilization Ability, Korean Chamber of Commerce and Industry
• 🚗 Driver's License (Type 1 Normal)
• 🥋 Taekwondo 3rd Dan (Kukkiwon Certified)
• 🥋 Hapkido 3rd Dan (Kukkiwon Certified)
• 🌐 RFID-GL (Korea IOT Association)
• 🖼️ GTQ (Adobe Photoshop), KPC (Korea Productivity Center) Certified
• 🖋️ GTQ-i (Adobe Illustrator), KPC (Korea Productivity Center) Certified

• 🎓 Hansung University, Bachelor of Industrial Management Engineering (2014-2018)

• Tech: Python, OpenCV, Ultralytics YOLO, Pygame
• Description: Developed a real-time object detection system using the YOLOv8 model to detect cigarettes. Implemented with OpenCV for webcam streaming, Ultralytics YOLO for object detection, and Pygame for audio alerts. Utilized threading for asynchronous processing. Fine-tuned the model and achieved a 98% accuracy.

• Tech: Python, TensorFlow, AI Hub "Emotional Dialogue Corpus," Kaggle TPUs
• Description: Fine-tuned the Gemma 2 model using the AI Hub "Emotional Dialogue Corpus" to create a culturally sensitive AI companion for mental wellbeing support within the South Korean community. Leveraged Kaggle TPUs and LoRA for optimized training and memory efficiency.

• 🔗 LinkedIn: https://www.linkedin.com/in/hwkims/
• ✉️ Email: [email protected]
• 🤗 Hugging Face: https://huggingface.co/kimhyunwoo

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