🚀 Full-stack developer and AI/ML engineer specializing in deep learning, computer vision, and NLP. Currently focused on advanced AI techniques at NVIDIA AI Academy. 🌌

• 🎯 Diligence: Unwavering commitment to excellence, meticulous preparation, and consistent effort in all projects. I believe in going the extra mile! 💯
• 🗣️ Communication: Clear and concise articulation of ideas, active listening skills, and fostering collaborative environments. I'm all about teamwork! 🤝
• 🧠 Problem-Solving: Proficiency in analyzing complex problems, generating creative and effective solutions, and implementing them efficiently. Bring on the challenges! 💪
• 🚀 Adaptability & Learning: Rapidly grasping new concepts, proactively seeking new knowledge, and embracing challenges with enthusiasm. Always learning, always growing! 🌱
• 🤝 Teamwork: Collaborating effectively within teams, contributing positively to group dynamics, and valuing diverse perspectives. Let's build something amazing together! 🌟
• ⏱️ Time Management: Prioritizing tasks effectively, meeting deadlines consistently, and managing time efficiently. Time is precious! ⏳
• 🌟 Leadership: Taking initiative, guiding and motivating others, and fostering a positive and productive work environment. Let's lead the way! 🌠
• 🔍 Analytical Skills: Strong ability to analyze data, identify patterns, and draw meaningful conclusions. Data is power! 📊
• 💡 Innovation: Continuously seeking new and improved ways of doing things, experimenting with new technologies, and pushing boundaries. The future is now! ✨

• Programming Languages:

  • 🐍 Python: TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, FastAPI, Flask, DVC - My go-to language for all things AI! 🤖
  • 🧰 C++: Efficient Algorithms, Object-Oriented Programming, Systems Programming, STL - For performance-critical applications! 🚀
  • 📜 JavaScript: React.js, Node.js, Next.js, Vue.js, Svelte, Express.js, Three.js - Building interactive and dynamic web experiences! 🌐
  • ☕ Java: Spring Boot, Object-Oriented Design, JUnit, Maven - For robust and scalable enterprise applications! 🏢
  • 🎮 C#: Unity, Unreal Engine, .NET, ASP.NET - Creating immersive gaming experiences and powerful applications! 🕹️
  • SQL: MySQL, PostgreSQL, SQLite - Managing and querying relational databases! 🗄️
  • NoSQL: MongoDB, Redis, DynamoDB - For flexible and scalable data storage! 🗃️

• Web Development:

  • Frontend: HTML5, CSS3, JavaScript, React.js, Next.js, Vue.js, Svelte, Tailwind CSS, Bootstrap - Crafting beautiful and responsive user interfaces! ✨
  • Backend: Node.js, Express.js, Python (FastAPI, Flask), Java (Spring Boot) - Building the engine that powers the web! ⚙️
  • Databases: MongoDB, MySQL, PostgreSQL, Redis, Supabase, Firebase, DynamoDB, Amazon RDS, Amazon Aurora, Azure Cosmos DB, Google Cloud SQL, Google Cloud Spanner - A database for every need! 🗄️
  • Web Services & Platforms:
    • E-commerce: Cafe24, Shopify, WooCommerce - Building online stores! 🛒
    • CMS: WordPress, Drupal, Joomla - Empowering content creators! 📝
    • Social Media & Streaming: YouTube, Twitch, Facebook, Instagram, TikTok - Connecting with the world! 📱
    • Serverless: AWS Lambda, Google Cloud Functions, Azure Functions - Scalable and cost-effective computing! ⚡
    • Web Servers: Apache, Nginx - Serving the web! 🌐
    • API Gateways: Amazon API Gateway, Google Cloud Endpoints, Kong - Managing and securing APIs! 🔑
    • CDN: Cloudflare, Amazon CloudFront, Akamai - Delivering content with speed and reliability! 🚀
    • Interactive Web Apps: Streamlit, Gradio, Dash - Building data-driven web applications with ease! 📊

• AI/ML:

  • Deep Learning Frameworks: TensorFlow, PyTorch, Keras - The powerhouses of deep learning! 🧠
  • Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost - For all your machine learning needs! 🤖
  • Computer Vision: OpenCV, Ultralytics YOLO, SAM (Segment Anything Model), Detectron2, Roboflow - Making computers see! 👀
  • NLP: Hugging Face Transformers, BERT, GPT, Gemma, Llama, SpaCy, NLTK - Understanding and generating human language! 🗣️
  • Cloud Platforms: AWS (Amazon Web Services), GCP (Google Cloud Platform), Azure - The cloud is the limit! ☁️
  • Cloud AI Services:
    • AWS: SageMaker, Rekognition, Comprehend, Textract - AI on the AWS cloud! ☁️
    • GCP: Vertex AI, Vision API, Natural Language API, Cloud TPU - AI on the Google Cloud! ☁️
    • Azure: Azure Machine Learning, Cognitive Services, Computer Vision, Text Analytics - AI on the Azure cloud! ☁️
  • Experiment Tracking: Weights & Biases (W&B) - Keeping track of my AI experiments! 🧪
  • Model Deployment & Serving: TensorFlow Serving, TorchServe, NVIDIA Triton Inference Server - Deploying AI models to the real world! 🚀
  • Data Versioning: DVC - Managing data like code! 🗄️

• Tools & Platforms: * Tools: Git, Docker, Kubernetes, Jenkins, VS Code, PyCharm, Jupyter Notebook, Photoshop, Illustrator, Figma, Pygame, Unity, Unreal Engine, AWS Cloud9, Google Colab, Kaggle Kernels, Tableau, Hugging Face Hub, Vercel, Netlify - My essential toolkit! 🛠️ * Platforms: Hugging Face, Kaggle, Weights & Biases, Roboflow, Vercel, Netlify, Velog, Supabase - Connecting with the AI and developer community! 🤝

• NVIDIA Deep Learning Institute (DLI):

  • Getting Started with AI on Jetson Nano (February 2025) 🚀
  • Building Video AI Applications at the Edge on Jetson Nano (February 2025) 📹
  • Applications of AI for Anomaly Detection (February 2025) 🕵️‍♂️
  • Computer Vision for Industrial Inspection (February 2025) 👁️
  • 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) 🧠

• Other:

  • 🎨 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, Seoul, South Korea - Bachelor of Industrial Management Engineering (2014-2018)
• 🏫 Guseong High School, Yongin, South Korea (2011-2014)
• 🎒 Guseong Middle School, Yongin, South Korea (2008-2011)

1. 🚬 Real-time Cigarette Detection System

   • 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, achieving 98% accuracy.

2. 🗣️ Fine-tuning Gemma 2 for Korean Emotional Dialogue

   • Tech: Python, TensorFlow, AI Hub "Emotional Dialogue Corpus", NVIDIA P100 GPUs, 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, NVIDIA P100 GPUs, and LoRA for optimized training and memory efficiency.