I working on machine learning which implement in python as well as deep learning. and also have knowledge in recommender system as well. scikit-learn, apache spark and caffe. My research area include supervised learning (SVM, Regression, SGD, Random Forest, KNN) un-supervised learning (k-means) events based learning (reinforcement learning) deep learning with caffe and code RBM, DBN, HMM, viterbi algo library from scrach with java. I also have knowledge and experience in OpenCV with python as well. My current job as Back-End developer to create RESTFul based API on spring-boot, python node.js I used to develop python based reinforcement learning for algorithmic trading robot and test with several stocks in market such as SET and NYSE (for research purpose) Node.js and MongoDB based RESTFul WS Develop J2EE, JPA based RESTFul WS Amazon Linux EC2 oAuth2, Swagger, Git Python RESTFul WS Python Machine Learning Python Spark Python Deep Learning with Caffe Python OpenCV Java Spring-Boot, Spring Security RabbitMQ, Falcon, Gunicorn MATLAB Raspberry Pi MySQL, Mongo DB, DB2, Oracle ©