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마즈루멉알리
Hello! I am KAIST University Graduate. I am software developer in Seoul looking for job. 안녕하세요! 저는 KAIST 대학을 졸업했습니다. 저는 서울에서 일자리를 찾고있는 소프트웨어 개발자입니다.
경력
•Developed customized Learning Management System for top IT academy in South Korea • Developed both front & back end via microservice architecture. Platform has more than 20,000 users • Implemented email, payment and other services. Link for the platform: https://gettocl.co.kr/ • Utilized: Python, Django, Vue.js , Docker, Amazon Web Services, Google Analytics Links: https://gettocl.co.kr/ https://greenart.co.kr/
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• Developed Django web application for generating data based decision making UX reports. Developed • Recommender system for classifying the responses of the panel about problems of UX into different categories. •Increased the speed of producing reports and revenue of the companies by 50 percent • Implemented KoNLPy Python package for Natural Language Processing of Korean language • Utilized: Python, Django, Heroku, AmazonWeb Services, S3, Elastic Beanstalk, EC2
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• Automated text based short video generating web application from 40% to 75% for the Startup of Samsung C.Lab Incubation Program • Implemented Natural Language Processing algorithms called LexRank and TextRank for text summarization • Developed a REST API with Java Spring Boot for Pixabay, Unsplash, Getty Images, Microsoft’s Bing and Shutterstock databases of images, sounds and videos • Developed inputs merging algorithm with AWS Lambda, AWS Elemental MediaConvert, FFmpeg framework and implemented it on Apache Tomcat • Utilized: Amazon Web Services, Java, Spring Boot, Postman, Python, TensorFlow
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Developed website for efficient preparation for TOPIK (Test of Preficiency in Korean) by parsing all previous exams from official TOPIK database Designed multiple choice test with the 500 most frequent words, which make up 50% (43894) of all 86584 occured words Utilized: Python, HTML5, CSS3, JavaScript
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Implemented a Bi-directional Recurrent Neural Network chatbot with Attention Mechanism achieving a perplexity of 6.3 Used the Cornell Movie Dialogs Corpus dataset, which contains more than 200,000 conversations from 617 movies Utilized: Python, Tensorflow
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학력
2013년 1월 - 2019년 1월 · 6년
활동
최근 활동
수상 2
자격증 1
프로젝트 5
수상
KATEV National Mathematical Olympiad (Kazakhstan)
2012년 1월
KATEV National Mathematical Olympiad (Kazakhstan)
KATEV
수상
Asian Pacific Mathematics Olympiad (APMO)
2012년 1월
Asian Pacific Mathematics Olympiad (APMO)
APMO)
자격증
Machine Learning
Machine Learning Course of Professor Andrew Ng
프로젝트
Project 1: Gesture Identifier
- 현재
Achieved (>95%) confidence in successfully classifying different gestures. Developed Convolutional Neural Network model based on Tensorflow and Keras. Used Gesture Recognition Database on Kaggle with 20000 images.
프로젝트
Project 2: Traveling Salesman Problem
- 현재
Implemented genetic algorithm for effective solving of TSP. Decreased average traveling distance by 37 %. Used help of 2 opt and Greedy Subtour Crossover (GSX) algorithms.