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working on something..
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working on something..
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Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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juliairsalina/README.md

Hi, i'm julia

Data Science student at Korea University, curious about AI, data, and building useful things.

I enjoy machine learning, LLM-powered applications, agentic AI workflows, and turning ideas into practical prototypes.

About Me

I'm a final-year Data Science student who enjoys learning by building.

Most of my projects are around machine learning, NLP, deep learning, data analytics, and AI-powered applications. Recently, I’ve been exploring LLM applications, agentic AI workflows, Azure AI services, and cloud-based development.

I also care about the product side of technology: making projects not only work, but feel useful and intuitive.

Featured Projects

  • Yapping Study Buddy — agentic AI study companion
  • Risky Intent Disambiguation — NLP robustness research
  • Hierarchical Product Classification — weakly supervised NLP and graph learning
  • Crowd Density Estimation with CSRNet-CBAM — computer vision
  • Stress Detection with Dual-Branch VAE-LSTM — physiological signal analysis

Currently Exploring

  • Agentic AI and multi-agent systems
  • LLM-powered applications
  • Azure AI and cloud technologies
  • Applied machine learning research
  • AI-powered learning tools

Outside Tech

Reading japanese-translated books, movies, side project ideas, and sometimes play Roblox.

Connect

Feel free to connect if you're interested in AI, machine learning, data science, or building useful things.

Thanks for visiting my profile ♡

Pinned Loading

  1. crowd-density-estimation-csrnet-cbam crowd-density-estimation-csrnet-cbam Public

    Forked from whitepieridae/20251R0136COSE47400-CSRNet-CBAM-for-Crowd-Density-Estimation

    Fork of a team deep learning project on crowd density estimation. We explored multiple pipelines to address challenges such as occlusion and perspective distortion, and our best-performing model wa…

    Jupyter Notebook

  2. dual-branch-vae-lstm-stress-detection dual-branch-vae-lstm-stress-detection Public

    Forked from peunsu/wesad-stress-detection

    Fork of a team project on stress detection using a dual-branch VAE-LSTM with multi-head attention, developed on WESAD physiological signals for robust and efficient sequence modeling.

    Jupyter Notebook

  3. hierarchical-multi-label-text-classification hierarchical-multi-label-text-classification Public

    Hierarchical multi-label text classification pipeline with silver label generation, core-aware teacher training, soft self-training, and confidence-aware student learning. Combines hierarchy-aware …

    Jupyter Notebook

  4. interactive-yearbook-project interactive-yearbook-project Public

    Interactive Yearbook project goes beyond simply digitizing a book. It aims to recreate the feeling of being there again, surrounded by familiar faces, voices, and emotions through a carefully craft…

    TypeScript