(Susan) Xinh Huynh
Lead Backend Engineer at Outlogic- Claim this Profile
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Bio
Mani Subramaniyan
Susan, in just over a year at Samsung, took a bare bones AWS control panel + On-prem Kubernetes cluster, and did all the work necessary for making that into a production cluster. During the process, she worked with the team, IT and contractors to solve networking and firewall issues as well storage issues for the cluster. Finally, she also worked with other development groups to onboard their docker workloads to this Kubernetes cluster. She was only given the charter and she went ahead and did whatever was necessary - coming up with alternatives for solutions, working with contracting companies and IT to facilitate etc. She is a great team member and was able to get things done that required co-operation from other teams as well.
ali dasdan
Xinh joined my web search data and analysis team from the web graph team at Yahoo!. In our team, she got to do production work from backend to frontend systems as well as applied research with massive data on hadoop clusters and web search clusters. On top of that, she managed to publish research papers. She was a very solid and effective engineer and applied researcher. She was one of the team members that I had no worries about the execution of what's been committed: She always delivered her projects on time and with quality (including documentation and testing). She was one of the rare engineers that even when a need was vaguely defined, she could mange the rest and deliver a comprehensive and well thought-out solution successfully. What also impressed me was that she was able to use her time very efficiently. Due to what happened to the company we loved to work at, we all ended up in new adventures; in the case of Xinh, she wanted to deep dive more into applied research at a national lab. Yet if she decides to change her job, I would not hesitate to hire her right away.
Mani Subramaniyan
Susan, in just over a year at Samsung, took a bare bones AWS control panel + On-prem Kubernetes cluster, and did all the work necessary for making that into a production cluster. During the process, she worked with the team, IT and contractors to solve networking and firewall issues as well storage issues for the cluster. Finally, she also worked with other development groups to onboard their docker workloads to this Kubernetes cluster. She was only given the charter and she went ahead and did whatever was necessary - coming up with alternatives for solutions, working with contracting companies and IT to facilitate etc. She is a great team member and was able to get things done that required co-operation from other teams as well.
ali dasdan
Xinh joined my web search data and analysis team from the web graph team at Yahoo!. In our team, she got to do production work from backend to frontend systems as well as applied research with massive data on hadoop clusters and web search clusters. On top of that, she managed to publish research papers. She was a very solid and effective engineer and applied researcher. She was one of the team members that I had no worries about the execution of what's been committed: She always delivered her projects on time and with quality (including documentation and testing). She was one of the rare engineers that even when a need was vaguely defined, she could mange the rest and deliver a comprehensive and well thought-out solution successfully. What also impressed me was that she was able to use her time very efficiently. Due to what happened to the company we loved to work at, we all ended up in new adventures; in the case of Xinh, she wanted to deep dive more into applied research at a national lab. Yet if she decides to change her job, I would not hesitate to hire her right away.
Mani Subramaniyan
Susan, in just over a year at Samsung, took a bare bones AWS control panel + On-prem Kubernetes cluster, and did all the work necessary for making that into a production cluster. During the process, she worked with the team, IT and contractors to solve networking and firewall issues as well storage issues for the cluster. Finally, she also worked with other development groups to onboard their docker workloads to this Kubernetes cluster. She was only given the charter and she went ahead and did whatever was necessary - coming up with alternatives for solutions, working with contracting companies and IT to facilitate etc. She is a great team member and was able to get things done that required co-operation from other teams as well.
ali dasdan
Xinh joined my web search data and analysis team from the web graph team at Yahoo!. In our team, she got to do production work from backend to frontend systems as well as applied research with massive data on hadoop clusters and web search clusters. On top of that, she managed to publish research papers. She was a very solid and effective engineer and applied researcher. She was one of the team members that I had no worries about the execution of what's been committed: She always delivered her projects on time and with quality (including documentation and testing). She was one of the rare engineers that even when a need was vaguely defined, she could mange the rest and deliver a comprehensive and well thought-out solution successfully. What also impressed me was that she was able to use her time very efficiently. Due to what happened to the company we loved to work at, we all ended up in new adventures; in the case of Xinh, she wanted to deep dive more into applied research at a national lab. Yet if she decides to change her job, I would not hesitate to hire her right away.
Mani Subramaniyan
Susan, in just over a year at Samsung, took a bare bones AWS control panel + On-prem Kubernetes cluster, and did all the work necessary for making that into a production cluster. During the process, she worked with the team, IT and contractors to solve networking and firewall issues as well storage issues for the cluster. Finally, she also worked with other development groups to onboard their docker workloads to this Kubernetes cluster. She was only given the charter and she went ahead and did whatever was necessary - coming up with alternatives for solutions, working with contracting companies and IT to facilitate etc. She is a great team member and was able to get things done that required co-operation from other teams as well.
ali dasdan
Xinh joined my web search data and analysis team from the web graph team at Yahoo!. In our team, she got to do production work from backend to frontend systems as well as applied research with massive data on hadoop clusters and web search clusters. On top of that, she managed to publish research papers. She was a very solid and effective engineer and applied researcher. She was one of the team members that I had no worries about the execution of what's been committed: She always delivered her projects on time and with quality (including documentation and testing). She was one of the rare engineers that even when a need was vaguely defined, she could mange the rest and deliver a comprehensive and well thought-out solution successfully. What also impressed me was that she was able to use her time very efficiently. Due to what happened to the company we loved to work at, we all ended up in new adventures; in the case of Xinh, she wanted to deep dive more into applied research at a national lab. Yet if she decides to change her job, I would not hesitate to hire her right away.
Experience
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Outlogic
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United States
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Information Technology & Services
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1 - 100 Employee
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Lead Backend Engineer
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May 2020 - Present
Data pipeline built on Spark, Scala, and AWS. Data pipeline built on Spark, Scala, and AWS.
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Samsung Electronics
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South Korea
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Computers and Electronics Manufacturing
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700 & Above Employee
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Senior Staff Software Engineer
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Jan 2019 - Apr 2020
Kubernetes, scalability. Setup an on-prem Kubernetes cluster for microservices and batch workloads. Migrated Airflow data pipeline to Kubernetes. Integrated various storage solutions such as: Ceph / Rook, PostgreSQL. Experimented with GPU virtualization. Kubernetes, scalability. Setup an on-prem Kubernetes cluster for microservices and batch workloads. Migrated Airflow data pipeline to Kubernetes. Integrated various storage solutions such as: Ceph / Rook, PostgreSQL. Experimented with GPU virtualization.
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Mesosphere
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United States
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Software Development
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1 - 100 Employee
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Senior Software Engineer
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Oct 2016 - Aug 2018
Software engineer at Mesosphere, a container platform based on Mesos. Worked on integrating Spark into the platform, contributed to Apache Spark open source project. Developed integration tests of services running on the platform, such as Kafka and Cassandra. Programming in Python and Scala. Software engineer at Mesosphere, a container platform based on Mesos. Worked on integrating Spark into the platform, contributed to Apache Spark open source project. Developed integration tests of services running on the platform, such as Kafka and Cassandra. Programming in Python and Scala.
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Samsung SDS
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South Korea
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IT Services and IT Consulting
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700 & Above Employee
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Data Analytics Developer, Team Lead
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Apr 2015 - Jul 2016
Data engineer: developed software with Spark and Scala for data munging, exploration, machine learning, and data pipelines. Worked with Spark RDD, DataFrame, Spark SQL, and MLlib APIs. Scrum master: facilitated the Agile process in a team of developers and data scientists. Data engineer: developed software with Spark and Scala for data munging, exploration, machine learning, and data pipelines. Worked with Spark RDD, DataFrame, Spark SQL, and MLlib APIs. Scrum master: facilitated the Agile process in a team of developers and data scientists.
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Jive Software
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United States
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Software Development
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100 - 200 Employee
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Senior Analytics Engineer
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Mar 2013 - Mar 2014
Jive provides social collaboration software for the enterprise. Developed streaming and batch analytics with Java, Elasticsearch, stream processing, and Storm. Agile development. Jive provides social collaboration software for the enterprise. Developed streaming and batch analytics with Java, Elasticsearch, stream processing, and Storm. Agile development.
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Lawrence Livermore National Laboratory
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United States
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Research Services
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700 & Above Employee
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Software developer, Technical lead
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Jan 2010 - Feb 2013
Lawrence Livermore National Lab is a government research and development lab, under the U.S. Department of Energy. Developed analytics for unstructured text data and graph / network data. Hadoop, Pig, Java, Python. Implemented text processing data pipeline for a document search application. Java, Python, HBase, Solr. Lawrence Livermore National Lab is a government research and development lab, under the U.S. Department of Energy. Developed analytics for unstructured text data and graph / network data. Hadoop, Pig, Java, Python. Implemented text processing data pipeline for a document search application. Java, Python, HBase, Solr.
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Yahoo!
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Information Technology and Services
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1 - 100 Employee
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Senior software engineer, Web Search backend
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Jan 2005 - Dec 2009
Implemented analytics and distributed applications on Web-scale data, consisting of many billions of web pages, for the Web Search backend. Created dashboards for visualization and monitoring. Technologies: Map Reduce, Hadoop, distributed computing, C++, Java, Perl, MySQL. Brief stint as web developer, prototyping Yahoo! Green web portal. Implemented analytics and distributed applications on Web-scale data, consisting of many billions of web pages, for the Web Search backend. Created dashboards for visualization and monitoring. Technologies: Map Reduce, Hadoop, distributed computing, C++, Java, Perl, MySQL. Brief stint as web developer, prototyping Yahoo! Green web portal.
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Scientific Atlanta
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Telecommunications
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100 - 200 Employee
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Software engineer, Operating System team
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Jan 2001 - Oct 2004
Developed and maintained embedded OS software for cable set-top boxes. Worked on kernel-level memory management and resource allocation for multi-media streams. Debugged full stack integration issues. Technologies: C, C++, gdb. Developed and maintained embedded OS software for cable set-top boxes. Worked on kernel-level memory management and resource allocation for multi-media streams. Debugged full stack integration issues. Technologies: C, C++, gdb.
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Education
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1998 - 2001
Stanford University
MS, Computer Science -
Caltech
BS, Physics -
Stanford University
M.S., Physics (high energy physics)
