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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)

Nation Sun Yat-sen University (NSYSU)

AI工程師

yunhsin liu | 劉昀鑫

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

AI engineer

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)

yunhsin liu | 劉昀鑫’s posts