Candidate Information Name Available: Register for Free Title Machine Learning Computer Vision Target Location US-OH-Newark Email Available with paid plan Phone Available with paid plan	20,000+ Fresh Resumes Monthly     View Phone Numbers     Receive Resume E-mail Alerts     Post Jobs Free     Link your Free Jobs Page     ... and much more Register on Jobvertise Free
Search 2 million Resumes Keywords: City or Zip:	Related Resumes Data Engineer Machine Learning Columbus, OH Machine Learning Data Analysis Columbus, OH Packer, inspector, machine operator Croton, OH Computer Science Quality Assurance Columbus, OH Warehouse Operations Machine Operator Columbus, OH Application Management Computer Hardware Columbus, OH Machine Operator Warehouse Associate Columbus, OH

Candidate's Name  PHONE NUMBER AVAILABLE 7829 Crawford Farms DR, Blacklick, OH 43004EMAIL AVAILABLE / Portfolio / UltramanStreet Address  (github.com) US Permanent Resident / Hardworking and reliableSkillsPython, 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, PyQtExperienceSoftware/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 ProjectsPedestrian 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 EducationMaster of Science in Computer Vision, University of Ulsan, Korea 2021. 3 ~ 2023.2 Applied Data Science with Python, Coursera, 2018, 12