Aug 2019 - Present
As an AI engineer, using Python, with feature engineering (mathematical probability statistics), model calculations (using
tensorflow, keras), linear regression classification models and neural models (Autoencoder, CNN, Ganomaly(GAN +
Autoencoder), DNN, RNN(seq2seq) for anomaly detection), and writing anomaly feedback system ( Flask, Django,
metabase, SQL) system website development, maintenance framework( HTML, CSS, Bootstrap 4, jQuery , javascript).
10 Projects that have been accepted: Extruder Health Inspection Detection, Centrifugal Pump Abnormal Analysis, PG
Sensor Abnormal Detection, Compressor Abnormal Detection, Centrifugal Compressor Deterioration Early Warning
Analysis, Three-way Synchronous Current Trend Development, Reason Analysis of Bearing Abnormal, NLP & USI-RNN
Voice Recognition, Abnormal Feedback Mechanism System, Chipless Saw Blade Life Detection (Image Analysis).
Major Achievement : Write AI model system (collection of data, characteristic engineering analysis data, model
calculation, abnormal feedback system, push mechanism)