Max Chang (張嘉棋)

Self-motivated learner with strong problem-solving skills, passionate about programming and machine learning. Possess hands-on experience of writing codes in python and machine learning frameworks such as tensorflow, sklearn.

I was a mechanical engineer with 6+ years of experience in manufacturing industry, working with cross-functional teams for new products design, cost analysis and FAE.

Skills

Programming

• python

• SQL

Machine/Deep Learning

• Tensorflow

• Keras

• Scikit-learn

• Opencv

Others

• pyspark

• Git

• Docker

Language

• Toeic 955

Experience

Advanced studies, Mar 2020 - present

To enhance my ability of programming, knowledge about machine learning and tools for data science, I've completed several courses within the period.

In NCTU:

• Digital image processing, Deep Learning and Data Mining.

• Digital signal processing and Advanced analog IC design.

On online learning platform:

• CS50 - Introduction to computer science (parts about C programming) and Stanford-Algorithms.

• Machine Learning Foundations and Techniques.

• SQL bootcamp and Big Data Analytics Using Spark.

Associate Researcher, Oct 2017 - Mar 2020 TECO Electric & Machinery

• Designed a special application large induction motor first time in Taiwan and collaborated with the

North America branch; coordinated technical transfer of a new critical manufacturing process.

• Provided vibration technical support in Singapore and Malaysia. Solved problems within a week to ensure

commissioning complies with customer's schedule.

• Conducted transient shock analysis, modal vibration analysis for large induction motor by Abaqus

successfully; submitted demanding technical report to customer and received recognition.

Assistant Researcher, Nov 2013 - Sep 2017 TECO Electric & Machinery

• Expatriated to branches in North America for 9 months (Canada 3 months, U.S. 6 months). Established

regional engineering center, involving functions of motor quotation, spec. confirmation, technical service

and product promotion.

• Contributed to high speed vertical thrust motor development and build a new product line. Obtained patent

"Motor device with heat dissipation channel, TW M518440"

• Responsible for motor structure design and drawing, on-site operation assistance, and product quotation &

cost analysis.

Side projects

AI playing Sonic the hedgehog

Trained an AI playing Sonic by Deep Reinforcement Learning model: Asynchronous Advantage Actor-Critic with LSTM cell.

Demo: https://youtu.be/ut7WoK1Kd_g

Badminton-Tracking

Trained a FCN badminton tracking model using TrackNet.

Demo: https://youtu.be/NHsgkH7DG4k

Clustering

Clustering amazon dataset including ~6M users review (Music.txt) by Kmeans and DBSCAN with Jaccard coefficient. Visualize using TSNE dimension reduction algorithms.

Shortest Path Finding

Apply shortest path finding algorithms to solve complicated maze.

• Randomized Prim's • Dijkstra's

• Breadth First Search • A* Search

• Q-Learing + Depth First Search

Demo: https://youtu.be/83VfV6G6Ohs

Education

National Chiao-Tung University, Sep 2020 - present

M.S. Institute of Electrical and Control Engineering, in-service master's program

National Taiwan University, Sep 2011 - Jun 2013

M.S. Institute of Applied Mechanics

National Taiwan University, Sep 2007 - Jun 2011

B.S. Department of Mechanical Engineering