👋 Hi, I'm Minwoo (xisco614)
🇰🇷 21 y/o currently serving in the Korean military 🎯 Aspiring AI Engineer with a focus on Cognitive Science and Machine Learning 📍 Based in Ulsan, South Korea
📬 Contact: kimmin20020@gmail.com
📘 About Me
🔭 I'm currently focusing on Python, Calculus, and AI fundamentals while serving in the military. 🧠 My primary interests lie in the intersection of Cognitive Science, Computer Science, and AI. I am passionate about understanding human cognition and applying this knowledge to AI and Machine Learning to create systems that mirror human thought processes. 💡 Goal: To design intelligent systems that improve user experiences by merging human cognitive insights with cutting-edge AI technology. 🚀 Constantly learning, evolving, and working towards making a meaningful impact in the world of AI and XR (Extended Reality).
🚀 Current Project 📗 First-AI-study
A personal learning log that documents my journey of studying AI and Computer Science during my military service.
📝 Weekly updates on my AI progress, Python exercises, and mathematical foundations (calculus, linear algebra).
🔍 AI theory notes focused on Machine Learning, Neural Networks, and Cognitive Science.
📊 Progress tracking of my self-directed learning and hands-on coding practices.
🧠 Cognitive Science and Computer Science Integration
As an aspiring AI Engineer with a strong focus on Cognitive Science, I believe that understanding how the human brain processes information is key to building intelligent systems that interact more naturally with humans. The synergy between Cognitive Science and AI will allow me to create AI systems that are not just technically robust but also human-centered and cognitively intuitive.
Cognitive Science Areas I'm Exploring:
Neural Networks & Brain Simulation: How artificial neural networks simulate the structure and function of the human brain.
Human Perception and Interaction: Investigating how people perceive information and interact with technology to create more intuitive and adaptive interfaces.
Cognitive Biases and Decision-Making: Understanding how cognitive biases impact human behavior, and how to design AI systems that mitigate these biases.
Attention and Memory: Exploring how attention mechanisms and memory models in humans can be applied to AI models for better decision-making and problem-solving.
How Cognitive Science Helps in AI:
By studying cognitive processes, I aim to create more efficient algorithms that are informed by human perception, decision-making, and memory systems. This interdisciplinary approach will contribute to the creation of human-centric AI that is more adaptable, intuitive, and empathetic.
🧰 Tech Stack (So Far) 🖥️ Languages:
🟢 Python | 🧮 MATLAB (basic) | 📊 SQL (learning soon)
⚙️ AI Tools & Libraries (learning):
🤖 TensorFlow | 🧠 PyTorch | 🔢 NumPy | 📊 Pandas | 🔍 Scikit-learn
🧠 Cognitive Science Tools & Research:
Neuroscience Research: Tools and studies on the neuroscience of perception, memory, and attention.
Cognitive Modelling: Techniques like ACT-R (Adaptive Control of Thought-Rational) and Bayesian Networks to simulate cognitive functions.
🌱 Learning Roadmap (2025-2026) Stage Goal Description 1️⃣ Python & Math Foundations Master core Python, linear algebra, and calculus to build a strong mathematical foundation for AI. 2️⃣ Cognitive Science & Machine Learning Dive deeper into cognitive science topics and start implementing machine learning models to solve real-world problems. 3️⃣ AI Portfolio Projects Develop AI applications and research notebooks focusing on human-computer interaction, cognitive biases, and user behavior modeling. 4️⃣ Study Abroad (US) Transfer to a UC or similar institution to study Cognitive Science and AI, building an academic foundation in both fields. 📊 GitHub Stats
✨ Motto
"Consistency beats intensity — one line of code a day builds the future." — xisco614