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Senior Software Engineer - Machine Learning Infrastructur at LinkedIn
• 5-year experience in IT industry, specialized in web application development. • Advanced skill level in Java SE, Java EE and Java-related frameworks (EJB, Spring, JPA, Hibernate). • Frontend language (GWT, Vaadin, JSP, JavaScript, CSS, html), database language (Oracle, MySQL), testing tools (Selenium, JUnit) and application server (Tomcat, WebLogic, Sap Netweaver and JBoss). • Built up Continuous Integration(CI) flow with Jenkins, Sonar and Nexus. • Cloud computing, virtualization, Amazon Web Service(AWS), Hadoop, MapReduce, and HBase.
Carnegie Mellon University
Master’s Degree, MSIT-eBusiness
January 1, 2015 – January 1, 2016
National Taiwan University
Master of Business Administration (M.B.A.), Information Management
January 1, 2007 – January 1, 2009
National Taiwan University
Bachelor of Business Administration (B.B.A.), Information Management
January 1, 2003 – January 1, 2007
Senior Software Engineer - Machine Learning Infrastructure
January 1, 2021 – May 1, 2026
森尼韋爾, CA · On-site
Rakuten Intelligence
Senior Machine Learning Infrastructure Engineer
October 1, 2016 – January 1, 2021
San mateo · On-site
MediaTek
Senior Software Engineer
November 1, 2014 – July 1, 2015
新竹市
TSMC
Software Engineer
March 1, 2010 – November 1, 2014
新竹市
Oracle Certified Master, Java SE 6 Developer
Oracle
June 24, 2026 – Present
Oracle Certified Professional, Java EE 5 Business Component Developer
Oracle
June 24, 2026 – Present
Oracle Certified Expert, Java EE 6 Java Persistence API Developer
Oracle
June 24, 2026 – Present
Oracle Certified Professional, Java EE 5 Web Component Developer
Oracle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning large tech companies (LinkedIn, Rakuten Intelligence), semiconductor manufacturing (TSMC, MediaTek), and multiple master's degrees. This breadth of experience suggests adaptability and a capacity to work in varied technical and business environments. Their progression from software engineer to senior roles in ML infrastructure aligns well with a growth-oriented culture. The target role of 'Big Data Engineer' aligns with their recent experience in large-scale data and ML infrastructure, indicating a good cultural fit for data-intensive organizations.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate strong leadership, problem-solving, and project management skills, particularly in complex infrastructure environments. Their work on improving resource utilization, resilience, and developer productivity suggests a proactive and results-oriented approach. The focus on CI/CD, automated testing, and secure code reviews also points to a strong operational mindset.