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Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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dptmf35/README.md

header

👩🏻‍🦱 Hello, AI Engineer Yeseul Jeong.

🔍 WHO AM I?

I'm deeply interested in AI (ML/DL), Robotics, Data Engineering.
I love diving into various structured and unstructured data, including images, text, and sensor readings.
I'm interested in building practical solutions across different domains using foundation models.
I’m interested in automating the entire pipeline—from data collection and processing to training and evaluation.

[velog link]
🚀 Total Views 280,000+ | I actively blog about key papers, research trends, and my tech learning journey.

Research Interest
AI, Robotics, Data Engineering, Model Finetuning and Application

🛠️ Tech Stacks

Languages & Frameworks

         

AI/ML Tools

       

Robotics & Simulation

     

Infrastructure & Tools

       

🔥 Key Competencies

  • AI Model Development: Fine-tuning & Application (Serving, Lifecycle Mgmt), Image/Text Classification, Object Detection & Tracking
  • Data Engineering: Multi-modal Data Processing (LiDAR, Camera, Sensor Fusion), Building Automated Training Pipelines
  • Robot Simulation: Isaac Sim Environment Construction, ROS2 Integration, Mobile Robot & Manipulator Experiments
  • Algorithm Optimization: Developing Lightweight Models, Optimizing Real-time Inference Environments (ONNX, TensorRT, Quantization)

Contact Me
yeseuljeong77@gmail.com

Pinned Loading

  1. dptmf35 dptmf35 Public

  2. For_Your_AI_Study For_Your_AI_Study Public

    collecting references for AI self-study

  3. auto_room_segmentation auto_room_segmentation Public

    automated_room segmentation with SLIC algorithm

    Python 1 1

  4. diffusion diffusion Public

    image denoising with diffusion model

    Python 1

  5. RL_study RL_study Public

    Reinforcement Learning tutorials

    Python

  6. My-Little-Research-Agent My-Little-Research-Agent Public

    AI researcher agent that analyzes papers using Three-Pass Approach, powered by Claude

    Python