Machine Learning Computer Vision

Edgar Jeong 614-***-**** **** Crawford Farms DR, Blacklick, OH 43004

***********@*****.*** / Portfolio / Ultraman82 (github.com) US Permanent Resident / Hardworking and reliable

Skills

Python, Pandas, Numpy, PyTorch, FastApi, Flask, JavaScript, C, React, Express, Postgresql, Kubernetes, Docker, Gitlab CI/CD, langchain, OpenAI api, Firebase, AWS S3, Lightsail, SageMaker, MMaction, MMsegmentation, MMdetection, PyQt

Experience

Software/ML Engineer - THK Manufacturing of America, Hebron, Ohio / Sep 2022 ~ Present

● Utilized Python and PyTorch to train Deep Neural Network artificial intelligence models which predict lead time for 100+ different products, built an automatic scheduling system based on machine learning model which reduced working in process inventory by 25% and increased hitting in time ratio by 20%.

● Optimized 2M+ lines of SQL data using Pandas, Numpy, and PostgreSQL for AI model training, increasing performance and accuracy.

● Developed, deployed and maintained full-stack services for ML-based predictions and data visualization for production scheduling.

Machine Learning Engineer - CodePro, Ulsan / Sep 2020~ Jun 2022

● Developed and deployed advanced computer vision applications using Convolutional Neural Network deep learning AI models

● Optimized model performance by identifying computation/performance trade-off points through parameter and module adjustments.

● Preprocessed datasets including label modification and merging for improved model performance.

● Trained deep learning models for action recognition, segmentation, and object detection, enabling precise computer vision applications.

Web Developer intern - White Cloud App, Fremont, CA / Sep 2019~ Mar 2020

● Developed a RESTful API using Node.js/Express for sending data to email server

● Created configurable React components to display different information and in responsive design Projects

Pedestrian Guidance System - CodePro, Ulsan / Feb 2022 ~ Mar 2022

● Trained and applied the STDC2 real time semantic segmentation model

● Preprocessed a road/sidewalk image dataset of 50,000 labeled images Real Time Monitoring System with Drone Video - CodePro, Ulsan, Korea 2021. 11 ~ 2022. 12

● Developed real time monitoring system with YOLOv5 object detection model

● Made the system concurrently infer input data and visualize the result Education

Master of Science in Computer Vision, University of Ulsan, Korea 2021. 3 ~ 2023.2 Applied Data Science with Python, Coursera, 2018, 12

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