Blog & Learning Journey
Technical articles, project retrospectives, and learning logs documenting my journey in AI engineering and cloud architecture.
Learning Logs
300 Days of Code - Year 2 - Strategic learning phases covering GenAI, MCP tooling, multi-agent systems, and cloud practice. Includes bootcamp completions, hackathon projects, and AWS certifications.
Key highlights:
- AWS AI Practitioner & Cloud Practitioner certifications
- EdgeMind 5G-MEC framework (AWS Agents Hackathon)
- Discord MCP & Albumentations MCP servers
- GenAI Bootcamp (RED SQUAD recognition)
- BeSA Migration & Modernization Bootcamp
300 Days of Code - Year 1 - Daily coding journey focused on computer vision, deep learning, and foundational AI engineering skills. Completed 198 days with emphasis on PyTorch, OpenCV, and algorithm practice.
Key highlights:
- Computer vision projects (LunaNet3D, YOLOv3, monocular depth)
- Consistent LeetCode practice
- MLOps Zoomcamp exploration
- Notebookify project (learning experience)
Technical Articles
HagXwon AI Learning Platform - TOGAF Study - Comprehensive enterprise architecture documentation for an AI-powered Korean language learning platform. Covers business case, conceptual design, TOGAF compliance, and project requirements using enterprise architecture best practices.
Research Papers & Publications - Collection of academic work exploring AI systems, edge computing, and human-AI interaction. Includes published dissertations and work-in-progress papers on edge intelligence, AI identity, and culturally-aware language learning.
Featured papers:
- EdgeMind: Multi-Agent Orchestration in 5G-6G (In Progress)
- Turn Detection in AI Language Learning (Published)
- Beyond Human Mimicry: Rethinking AI Identity (In Progress)
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