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DenseNet Implementation in Tensorflow

License: GNU General Public License v3.0

Python 100.00%

densenet-tensorflow's Introduction

๐Ÿ‘‹ Hello, I'm Nak-Jun Sung

I'm a software engineer with a passion for developing AI, Graphics, Simulation... I recently completed my Ph.D. in Software Convergence, specializing in computer graphics, and starting in September 2024, I will be joining GMCOM as the AX Team Leader.

๐ŸŽ“ Education

  • Ph.D. in Software Convergence (Computer Graphics), Soonchunhyang University, Mar 2018 โ€“ Aug 2024
  • M.S. in Computer Science (Computer Graphics), Soonchunhyang University, Sep 2016 โ€“ Feb 2018
  • B.S. in Computer Software Engineering, Soonchunhyang University, Mar 2012 โ€“ Aug 2016

๐Ÿ’ผ Career

  • AX Team Leader, GMCOM, Starting Sep 2024
  • Part-Time Lecturer, Soonchunhyang University, Mar 2024 โ€“ Jun 2024
  • Engine Team Leader (Algorithm Development), TenEleven, Mar 2022 โ€“ Nov 2023
  • Graphics Team Lead Engineer (Unity Development), Hutom, May 2020 โ€“ Feb 2022
  • Part-Time Lecturer, Soonchunhyang University, Mar 2019 โ€“ Jun 2019
  • CEO, ALL4ONE, Jul 2018 โ€“ Mar 2019

๐Ÿ”‘ Core Competencies

  • Expertise in commercial software development using languages such as C++, C#, Python, and more.
  • Extensive research in areas including physical simulation, digital twin, and parallel processing.
  • Proven leadership experience with hands-on involvement in both new development and legacy system improvement.

๐ŸŒฑ Interest Fields

  • Generative AI
    Actively exploring AI technologies such as text-to-text and text-to-image generation. Currently working on side projects in generative AI, experimenting with models like LLM(GPT, Claude, Llama3.1, etc), Image Gen(Stable Diffusion, Midjourney, Flux, etc), and other cutting-edge architectures.

  • Graphics and Simulation
    Continued interest in Position-Based Dynamics (PBD) and Mass-Spring Systems (MSS) for physics simulation. Recently delving into newer techniques such as Vertex Block Descent and keeping a close eye on advancements in WebGPU for high-performance web-based graphics.

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