Tzu-Cheng (Jason) Chuang
A software engineer who loves to learn new technology and build better tools. Google Cloud Certified Professional Data Engineer. I am AI Technical Manager at TMRTEK (椰棗) which is a BU of NEXCOM International 工業電腦廠新漢（8234）. I was Senior Technical Manager of GCP data at TPIsoftware. I was founder and CEO of AI4quant (AI startup). The startup was about providing AI solution for other business. The company AI4quant (艾泉資訊) won the award of best technical development(最佳技術開發獎) from 經濟部工業局. Why did I start my own business? (Answer_link).
I was a senior software engineer at Trend Micro. Our team developed strong data pipeline to connect different data sources from various consumer products, and the data flows to the data lake. It includes traditional data center Hadoop and modern cloud AWS EMR. The system is for business needs. I was responsible for architecture design and DevOps some of the subsystems. I was a full-stack engineer to do backend and frontend stuff.
I was an analytics platform developer at eBay. Our architect team set up software and hardware to move big data across different analytics platforms (between Hadoop and Teradata, and cross data centers). On Hadoop, there are so many different file types, compression types, and delimiter choices. Our tool can help users transform and move data more easily.
Before joining eBay, I worked at Composite Software. We built data discovery tool to find out data relationship through indexing and profiling. Our tool can analyze different kinds of DBMS, such as Oracle, MySQL, DB2, MSSQL, and Teradata. Composite Software was acquired by Cisco Systems Inc. in 2013.
I got my PhD degree in Electrical and Computer Engineering at Purdue in 2010. My research topic was about novel techniques to increase classification accuracy in machine learning. It's done through bagging, boosting, feature selection, and parallel computing.
Jason TC Chuang
LinkedIn account :https://www.linkedin.com/in/chuangtcGithub account :https://github.com/chuangtc
Youtube account :https://www.youtube.com/@jasonchuangai/
Presentation slides :https://www.slideshare.net/JasonChuang/
Medium account :https://medium.com/@chuangtcee/
Substack account :https://jasonchuang.substack.com/
Dev.to account :https://dev.to/chuangtc
Kaggle account :https://www.kaggle.com/chuangtcee
Jason TC Chuang's specialties
Experience
Academia Sinica, Institute of Information Science, Taipei, Taiwan
Led by Wu,Jan-Jan (吳真貞)
Education
Purdue University, West Lafayette,IN January 2006 - May 2010
Ph.D. Electrical and Computer Engineering
Specialization: Machine learning, data-mining algorithms and parallel computing
Dissertation title: Novel Techniques to Increase Classification Accuracy in Machine Learning
National Tsing Hua University, Hsinchu City, Taiwan, September 2000 - June 2004
Bachelor of Science in Electrical Engineering
The Phi Tau Phi Scholastic Honor
Interdisciplinary Program Certificate: E-Commerce
Credential
Tzu-Cheng's Credential Wallet
Certification
- Tzu-Cheng got certificaton of Managing Engineering Team
- Tzu-Cheng is certified as Google Cloud Professional Data Engineer
- Tzu-Cheng's MIT Sloan & MIT CSAIL Artificial Intelligence: Implications for Business Strategy Program Certificate
Volunteering
Lead Facilitator of Advanced Python Programming Language Study Group.
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Certificate of appriciation
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Material Record
Patent
Predictive model for anomaly detection and feedback-based scheduling
US Grant: US9699049B2
Grant Date: 2017-07-04
Assignee: eBay Inc
Publications
- Chaitali Gupta, Mayank Bansal, Tzu-Cheng Chuang, Ranjan Sinha, Sami Ben-Romdhane, "Astro: A Predictive Model for Anomaly Detection and Feedback-based Scheduling on Hadoop," 2014 IEEE International Conference on Big Data, Washington DC, Oct 27 - Oct 30, 2014, pp. 854-862.
- Tzu-Cheng Chuang, Okan K. Ersoy and Saul B. Gelfand, "A Consensual Subspace Method to Enhance Classification Accuracy," ANNIE 2008, Intelligent Engineering systems through artificial neural networks, St. Louis, MO, Nov 9- Nov 12, 2008, pp. 649-656.
- Tzu-Cheng Chuang, Okan K. Ersoy and Saul B. Gelfand, "Protein Secondary Structure Prediction With Hydrophobicity And Hydrophobic Moment," ANNIE 2007, Intelligent Engineering systems through artificial neural networks, St. Louis, MO, Nov 11- Nov 14, 2007, pp. 49-56.
- Tzu-Cheng Chuang, Okan K. Ersoy and Saul B. Gelfand, "Boosting Classification Accuracy With Samples Chosen From A Validation Set," ANNIE 2007, Intelligent Engineering systems through artificial neural networks, St. Louis, MO, Nov 11- Nov 14, 2007, pp. 455-461.
- Tzu-Cheng Chuang, Okan K. Ersoy and Saul B. Gelfand, "Protein Secondary Structure Prediction with inclusion of Hydrophobicity information," Indy 07 Bioinformatics Conference, Indianapolis, IN, May 31- June 2, 2007
