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Machine Learning Engineer

  • As a Machine Learning Engineer with over 3 years of experience, I specialize in computer vision and backend infrastructure for ML systems. My expertise has been instrumental in the development of impactful technology solutions like AnnoWiz 2.0, an AI-assisted labeling service, and Howfit, an AI-assisted home-training service. Passionate about taking ML concepts beyond the proof of concept stage, I focus on driving practical applications. Embodying versatility and adaptability, I am eager to learn and contribute beyond my core expertise. Looking ahead, I seek a challenging role that enables me to leverage my skills for continued growth and innovation.

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Hyeonwoo Jeong's Projects

appium icon appium

Cross-platform automation framework for all kinds of your apps built on top of W3C WebDriver protocol

dann_py3 icon dann_py3

python 3 pytorch implementation of DANN

datumaro icon datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

detic icon detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

labelme icon labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

leet-code icon leet-code

안풀면 5000원 💣💣💣💣💣💣💣💣💣💣💣💣💣

mlplatform-workshop icon mlplatform-workshop

🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

models icon models

Models and examples built with TensorFlow

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