Avatar of yunhsin liu | 劉昀鑫.

yunhsin liu | 劉昀鑫

AI工程師
1. I fulfilled my mandatory military service in 2019/04/08. As an AI engineer, I am willing to get new tasks and deal with challenges at work. 2. For my first work, I have already completed 10 projects about equipment maintenance. The task that impressed me the most was to write abnormal feedback mechanism system because I had never written scripts in HTML, CSS, Bootstrap 4, jQuery, Flask, Django and so on before I graduated. I was noticed that I needed to carry through this task for one month. Therefore, I found a way to do my best to complete the task and then got a sense of accomplishment. This is why I said I'm willing to get new tasks and deal with challenges at work. 3. University Graduated Project : Augmented reality(AR) navigation, using C# to write server and best path algorithm (Dijkstra Algorithm), and using PHP (MySQL) to build user's data. 4. Leetcode, using Python and C to practice the algorithm, the best record is 966, and 1156 problems have been solved. I have written programs each day for half of a year in order to refine my programming ability. 5. I join the AIA, which is an organization that learn the technique about AI. (2020/12/12~2021/04/24)
Logo of Amazon Web Services Taiwan (AWS)_台灣亞馬遜網路服務有限公司.
Amazon Web Services Taiwan (AWS)_台灣亞馬遜網路服務有限公司
Nation Sun Yat-sen University (NSYSU)
Taiwan, 台灣

Skills

C
C++
C#
Python
Flask(Python)
Django(Python)
HTML/CSS
jQuery
Bootstrap 4
AI & Machine Learning
Airflow
Data Analysis
Deep Learning
MySQL
Tensorflow (Keras)
metabase
Git
Github
GitLab

Languages

English
Intermediate
Japanese
Intermediate

Work experiences

Logo of Amazon Web Services Taiwan (AWS)_台灣亞馬遜網路服務有限公司.

AI engineer

Amazon Web Services Taiwan (AWS)_台灣亞馬遜網路服務有限公司

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)

Educations

Nation Sun Yat-sen University (NSYSU)

Bachelor’s Degree
CSE

2014 - 2018
3.8/4.3 GPA
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