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Avatar of the user.

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 the organization.
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

職場能力評價

專業背景

  • 目前狀態
    目前沒有興趣尋找新的機會
  • 專業
    數據科學家
  • 產業
  • 工作年資
    1 到 2 年 (1 到 2 年相關工作經驗)
  • 管理經歷
    我有管理 1~5 人的經驗
  • 技能
    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
  • 語言能力
    English
    中階
    Japanese
    中階
  • 最高學歷
    大學

求職偏好

  • 預期工作模式
    全職
    暫不考慮遠端工作
  • 希望獲得的職位
  • 期望的工作地點
  • 接案服務
    全職接案者

工作經驗

Logo of the organization.

AI engineer

2019年8月 - 現在
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)

學歷

Bachelor’s Degree
CSE
2014 - 2018
3.8/4.3 GPA