Chin-Jung Hsu
Software Engineering Manager, Data Platform at Amobee- Claim this Profile
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English Elementary proficiency
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Chinese Native or bilingual proficiency
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Bio
Ravi ..
Chin was an exceptional colleague at Amobee. Although we were in separate teams — Chin in Data Engineering and myself in Data Platform — our collaboration since 2019 was a delight. Chin's collaboration and communication skills are outstanding. We worked together on various PoCs involving Druid, Apache Hadoop, EMR, and Databricks, with Chin leading the Engineering side. His technical proficiency and commitment contributed significantly to our projects' success. Chin's warm personality and ability to create an inclusive environment made him a valued teammate. I am grateful for the opportunity to have worked with him and highly recommend him for any endeavor.
Ravi ..
Chin was an exceptional colleague at Amobee. Although we were in separate teams — Chin in Data Engineering and myself in Data Platform — our collaboration since 2019 was a delight. Chin's collaboration and communication skills are outstanding. We worked together on various PoCs involving Druid, Apache Hadoop, EMR, and Databricks, with Chin leading the Engineering side. His technical proficiency and commitment contributed significantly to our projects' success. Chin's warm personality and ability to create an inclusive environment made him a valued teammate. I am grateful for the opportunity to have worked with him and highly recommend him for any endeavor.
Ravi ..
Chin was an exceptional colleague at Amobee. Although we were in separate teams — Chin in Data Engineering and myself in Data Platform — our collaboration since 2019 was a delight. Chin's collaboration and communication skills are outstanding. We worked together on various PoCs involving Druid, Apache Hadoop, EMR, and Databricks, with Chin leading the Engineering side. His technical proficiency and commitment contributed significantly to our projects' success. Chin's warm personality and ability to create an inclusive environment made him a valued teammate. I am grateful for the opportunity to have worked with him and highly recommend him for any endeavor.
Ravi ..
Chin was an exceptional colleague at Amobee. Although we were in separate teams — Chin in Data Engineering and myself in Data Platform — our collaboration since 2019 was a delight. Chin's collaboration and communication skills are outstanding. We worked together on various PoCs involving Druid, Apache Hadoop, EMR, and Databricks, with Chin leading the Engineering side. His technical proficiency and commitment contributed significantly to our projects' success. Chin's warm personality and ability to create an inclusive environment made him a valued teammate. I am grateful for the opportunity to have worked with him and highly recommend him for any endeavor.
Credentials
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AWS Certified Solutions Architect – Professional
Amazon Web Services (AWS)Oct, 2021- Nov, 2024
Experience
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Amobee
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United States
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Advertising Services
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200 - 300 Employee
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Software Engineering Manager, Data Platform
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Feb 2022 - Present
- Design a self-service data lake platform for engineering, data analysts, data scientists. - Architect the Data and AI platform for accelerating development of intelligent data products - Lead transformation to the data mesh architecture. - Partner with cross-functional teams (product managers, data analytics, data scientists and data infrastructure) to drive technical visions. - Drive highly collaborative and innovative team work in a dynamic industry - Manage a 10+ data and… Show more - Design a self-service data lake platform for engineering, data analysts, data scientists. - Architect the Data and AI platform for accelerating development of intelligent data products - Lead transformation to the data mesh architecture. - Partner with cross-functional teams (product managers, data analytics, data scientists and data infrastructure) to drive technical visions. - Drive highly collaborative and innovative team work in a dynamic industry - Manage a 10+ data and software engineering team
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Lead Software Engineer Tech Lead
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Jul 2021 - Feb 2022
- Architect a data platform that scales and operates across multi-datacenters and multi-clouds - Drive cross-function projects for the next 6 - 24 months roadmap - Design and implement an audience analytics solution with 100x improvement in query time - Data reduction that saves 1 million + dollar a year - Build a data-driven software development process that accelerates software improvement
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Senior Software Engineer
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Jul 2019 - Jun 2021
- Convert a legacy monolithic to an agile microservices data architecture - Design and implement hybrid-cloud query management that improves efficiency by 2-5 times - Improves data delivery delay between multi-datacenters from 4-5 hours to less than an hour - Provide mentorship to new software engineers
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Software Engineer
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Oct 2018 - Jun 2019
- Develop a scalable data/ETL pipeline service (accelerates development and operations) - Develop REST APIs for core data platform components
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North Carolina State University
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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Aug 2014 - Jul 2018
- Machine-learning based cloud optimization for Spark and Hadoop (80% cost reduction) - Workload-aware data placement optimization (81% improvement in throughput) - Open-source Flow Scheduler for YARN Hadoop (up to 30% improvement in throughput) - Machine-learning based cloud optimization for Spark and Hadoop (80% cost reduction) - Workload-aware data placement optimization (81% improvement in throughput) - Open-source Flow Scheduler for YARN Hadoop (up to 30% improvement in throughput)
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Research Intern
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Jun 2015 - Jul 2015
- Performance modeling for Software-defined Storage (90% prediction accuracy) - Auto-tuning of data rebalance process in Ceph (70% reduction in rebalancing time) - Performance modeling for Software-defined Storage (90% prediction accuracy) - Auto-tuning of data rebalance process in Ceph (70% reduction in rebalancing time)
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NetApp
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Research Intern
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May 2014 - Aug 2014
- Develop workload-aware tiring management for optimizing HDD and SSD usage in HDFS - Leverage clustering algorithms and regression models to predict access pattern - Verify performance using Facebook production workload trace - Develop workload-aware tiring management for optimizing HDD and SSD usage in HDFS - Leverage clustering algorithms and regression models to predict access pattern - Verify performance using Facebook production workload trace
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North Carolina State University
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United States
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Higher Education
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700 & Above Employee
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Teaching Assistant
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Aug 2011 - May 2014
- Computer Organization and Assembly Language (Fall 2011) - Enterprise Storage Architecture (Spring 2012) - Design and Analysis Of Algorithms (Fall 2012) - Operating System Principles (Spring 2013) - Operating System Principles (Fall 2013) - Computer Organization and Assembly Language (Fall 2011) - Enterprise Storage Architecture (Spring 2012) - Design and Analysis Of Algorithms (Fall 2012) - Operating System Principles (Spring 2013) - Operating System Principles (Fall 2013)
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NetApp
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Performance Measurement Intern
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May 2013 - Aug 2013
- Apply ML models to identifying performance behavior changes of storage systems - Leverage clustering algorithms (e.g. k-means, affinity propagation) - Apply Principal Component Analysis (PCA) to reduce data dimensions - Apply ML models to identifying performance behavior changes of storage systems - Leverage clustering algorithms (e.g. k-means, affinity propagation) - Apply Principal Component Analysis (PCA) to reduce data dimensions
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Acer
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Taiwan
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Computer Hardware Manufacturing
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700 & Above Employee
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Android Project Engineer
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Jan 2011 - Jun 2011
- Support dual storage systems (eMMC and SD cards) in the Android framework - Address performance issues on scrolling screen, achieving a 1.3x improvement - Support dual storage systems (eMMC and SD cards) in the Android framework - Address performance issues on scrolling screen, achieving a 1.3x improvement
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National Tsing hau University
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Hsinchu, Taiwan
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Research Assistant
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Aug 2009 - Jul 2010
Research topics: 1) Taiwan UniCloud, 2) P2P Game Server 3) Multi-overlay network Research topics: 1) Taiwan UniCloud, 2) P2P Game Server 3) Multi-overlay network
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Education
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2011 - 2018
North Carolina State University
PhD, Computer Science -
2007 - 2009
National Tsing Hua University
Master, Computer Science
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