Launched permission control and monitoring system via OneLogin Single Sign-On

Organized and queried info from MySQL database, based on front-end user input

Improved success rate and stability of Task Generation Pipeline including data retrieval, transformation, processing and uploading

Greatly accelerated the development speed by building up local test environment for Task Generation Pipeline

Modularized Task Generation Pipeline code to improve code extensibility

Summarized data from 192 types of sensors and conducted pre-processing process on around 12 million samples on this base

Designed Reinforcement Learning Network based on Actor Critic to predict future states according to 94 dimensions’ actions

Built Simulator Model to save past data and generate new data, in order to enlarge the training dataset

Deployed a Loss Network in the model to set up specific limitations during boiler operation

Analyzed operation situation of steel ball lapping machine according to 520 thousand 77 dimensions’ samples via LSTM

Integrated and modularized code related to water quality monitoring model based on LSTM method

Built AI-enhanced art recommendation engine via Supervised Convolutional neural network

Optimized data base structure and added tags to paintings