Distinguished Engineer, Architect
Current*Transactional and analytical processing in distributed graph databases*Scalable and highly-available cross-datacenter data processing and monitoring
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@ebayinc.com
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Jun Li is listed as Distinguished Engineer, Architect at eBay, based in United States. AeroLeads shows a work email signal at ebayinc.com and a matched LinkedIn profile for Jun Li.
Jun Li previously worked as Principal Engineer, Architect at Ebay and Distinguished Technologist at Hewlett Packard Enterprise. Jun Li holds Doctor Of Philosophy (Ph.D.), Computer Engineering from Carnegie Mellon University.
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AeroLeads found 1 current-domain work email signal for Jun Li. Compare company email patterns before reaching out.
Dr. Jun Li’s primary technical competencies are on large-scale distributed processing systems, covering innovative architectural and application features, scalable and high-performance run-time execution and monitoring, optimized algorithms that can run efficiently at scale, and system security guarantees. Objectives:*Provide technical leadership and significant technical impact on developing and delivering innovative products and solutions*Lead and collaborate with people across teams and organizationsSkills:*Deep technical understanding of cutting-edge technologies needed to solve the defined problems*Enthusiasm and energy to learn and advance new technologies and tackle hard technical problems*Development of innovative techniques to address technical challenges*The ability to coordinate and inspire the team to deliver high-quality outcomes Specialties: distributed database management, scalable big-data processing, in-memory parallel processing, could computing and services, web services, general distributed software systems.
Listed skills include Big Data Analytics, Cloud Computing, Scalable Architecture, Distributed Systems, and 11 others.
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San Jose, Ca, Us
*Transactional and analytical processing in distributed graph databases*Scalable and highly-available cross-datacenter data processing and monitoring
San Jose, Ca, Us
*Highly scalable and available monitoring on distributed databases*Self-management on distributed databases with machine learning techniques over real-time event streams*Distributed transactional graph database*Columnar database with exactly-once guarantee on batch data insertion
Houston, Texas, Us
*Software system architect and technical lead on the development of a scalable event streaming platform based on Spark that uses machine learning models to make near real-time decisions.
Houston, Texas, Us
*Led development on improving Apache Spark’s runtime performance by exploring the global shared-memory enabled by HPE’s The Machine. A Spark High-Performance Computing Package that includes a native C++ shuffle engine, a native memory store and a shared-memory allocator have been developed and open-sourced under Apache License 2.0. The package is dynamically loadable at runtime when launching Spark jobs.*Led development of a large-scale high-dimensional similarity search framework (for example, to support image similarity search). The search mechanism is based on Locality Sensitive Hashing (LSH). Large space-efficient in-memory index tables are constructed and retrieved at local memory access speed to support the search.*Developed and evaluated modifications to Hadoop (HDFS and MapReduce) by replacing disk-based file systems with in-memory file systems, and forcing shuffle communication over in-memory file systems, on multicore big-memory machines. *Led development of a cloud service that support large-scale, low-cost delivery of healthcare applications by allowing encrypted sensitive data records to be stored in a public cloud environment, while allowing the data owner to control the creation and sharing of the encryption keys. *Led development of a multi-tenant cloud-based electronic medical records (EMR) system for small clinics. Used the measured system performance and the annual cloud infrastructure cost to estimate the cloud-based EMR system’s subscription-based pricing and profitability.
Palo Alto, Ca, Us
*Developed a scalable and secure encryption key store across different datacenters to manage encryption keys based on Shamir’s secret sharing scheme.*Developed a data retention service that offers scalable management of retention policies on data objects, based on the developed encryption key store.*Primary technical contributor to develop a Near Field Communication (NFC)-based mobile payment protocol and its integration to a backend banking platform.
Palo Alto, Ca, Us
*Developed various software technologies in monitoring, bridging and testing for CORBA-based large-scale distributed applications (in C++ and Java). Applied the developed technologies to embedded firmware of HP printers.
Other employees you can reach at ebayinc.com. View company contacts →
Keith Scherffius
Colleague at EbaySalt Lake City Metropolitan Area, United States
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JC
Josué Coppin
Colleague at EbayGreater Lille Metropolitan Area, France
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JZ
Joshua Zane Ray
Colleague at EbayGoodlettsville, Tennessee, United States
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KY
Kui Yang
Colleague at EbayBellevue, Washington, United States
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PJ
Praveen Jayawardhana
Colleague at EbayKegalle, Sabaragamuwa Province, Sri Lanka
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SB
Sandeep Bhalla
Colleague at EbaySan Jose, California, United States
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YJ
Yen-Tin Jonathan Liu
Colleague at EbayGreater Sydney Area, Australia
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עK
עפו Khaldi
Colleague at EbayTamra, North District, Israel
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NT
Natapong Tintan
Colleague at EbayLoei, Thailand
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RG
R G
Colleague at EbayIreland
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Quick answers generated from the profile data available on this page.
Jun Li works for eBay.
Jun Li is listed as Distinguished Engineer, Architect at eBay.
AeroLeads has found 1 work email signal at @ebayinc.com for Jun Li at eBay.
Jun Li is based in United States while working with eBay.
Jun Li has worked for Ebay, Hewlett Packard Enterprise, and Hewlett Packard Labs.
Jun Li's colleagues at eBay include Keith Scherffius, Josué Coppin, Joshua Zane Ray, Kui Yang, and Praveen Jayawardhana.
You can use AeroLeads to view verified contact signals for Jun Li at eBay, including work email, phone, and LinkedIn data when available.
Jun Li holds Doctor Of Philosophy (Ph.D.), Computer Engineering from Carnegie Mellon University.
Jun Li is listed with skills including Big Data Analytics, Cloud Computing, Scalable Architecture, Distributed Systems, Shared Memory, Cloud Security, Web Services, and Mobile Applications.
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