Shengliang Xu work email
- Valid
- Valid
- Valid
- Valid
Shengliang Xu personal email
Shengliang Xu is a Deep Learning @ NVIDIA | OmniML at NVIDIA. They possess expertise in c++, java, distributed systems, big data, python and 14 more skills. They is proficient in English.
-
Engineering, Deep LearningNvidia Feb 2023 - PresentSanta Clara, Ca, UsModel and pipeline optimization for large generative models
-
Principal Founding EngineerOmniml Jun 2022 - PresentSan Jose, UsDeep learning model and pipeline optimization. Acquired by NVIDIA.OmniML empowers users to design, optimize, shrink, and deployadvanced machine learning models to resource-constrainedhardware devices, focusing on mobile, automotive, robotics, and IoT applications. OmniML’s AI software technology enables enterprises to produce small, fast, and energy-efficient machine learning models for on- device AI.OmniML solves the mismatch between AI applications and hardware deployments to make AI more accessible everywhere.OmniML was founded in 2021 by Dr. Song Han, MIT EECS Professor and experienced start-up founder, Dr. Di Wu, former Facebook engineer, and Dr. Huizi Mao, co-inventor of the “deep compression” technology coming out of Stanford. -
Software Engineer, Tech Lead, Commerce Ml InfraMeta Jun 2020 - Jun 2022Menlo Park, Ca, UsCommerce (Marketplace, Shops and Jobs) Machine Learning Infra Systems. -
Principal Software EngineerPlus.Ai Sep 2018 - Jun 2020Santa Clara, California, UsWorked on autonmous driving perception algorithms, and on-vehcicle/backend infra systems. -
Staff Engineer, Technical Team Lead, FlashbladePure Storage Mar 2015 - Aug 2018Santa Clara, Ca, UsResponsible for technical innovation and development of FlashBlade. One of the major contributors to the flash management subsystem, the HA subsystem, the metadata subsystem and the snapshots subsystem.FlashBlade is an all-flash scale-out distributed file and object storage product designed from the ground up to meet the demands of modern applications. -
Research Assistant/Teaching AssistantUniversity Of Washington 2010 - Feb 2015Seattle, Wa, UsI co-designed and developed the MyriaX massive parallel computing system, which is the computing engine of the Myria big data management platform (http://myria.cs.washington.edu/) in UW Database Group. The project is open source in Github (https://github.com/uwescience/myria). MyriaX has been deployed in clusters with hundreds of machines and with terabytes of data.The MyriaX system has a standard one-master-many-worker shared nothing architecture. It uses arelational data model. Data processing functionalities are implemented by operators. It has a set ofrelational data processing operator implementations as well as an interface for user-defined operators. It supports several high level languages, including SQL, Datalog, and a new scripting language MyriaL. Clients compose a description of data processing requirements in any of the languages. The MyriaX system automatically comes up with a physical execution plan and assigns a set of workers to do the computation. It also handles all the low level system problems such as machine and network failures.The Myria platform is a computing infrastructure in use by many scientists in many departments in UW for managing and processing their massive datasets -
Research InternMicrosoft Mar 2014 - Jun 2014Redmond, Washington, UsCollaborated with Johannes Gehrke and many other Microsoft researchers and developers in the Cloud and Information Services Lab (CISL). We developed a prototype graph search engine for the Office Graph, which is currently a new product (code name Oslo) under development in the Microsoft Office group. -
Research Assistant， Apex Data & Knowledge Management LabShanghai Jiao Tong University Jul 2007 - Apr 2010上海, Shanghai, CnResearch master student, proudly advised by Professor Yong Yu.Research leader of the social search team in APEX Data & Knowledge Management Lab.Research focused on data mining / information retrieval in the social Web environment. -
Research InternIbm Jul 2008 - Nov 2008Armonk, New York, Ny, UsConducted research in Web social text mining, including user emotion mining and text search model analysis. Research papers got published in the IEEE ICDM conference, the CIKM conference, and IEEE TKDE journal. -
Research InternIbm Jul 2007 - Sep 2007Armonk, New York, Ny, UsConducted research in modeling Web social tags for personalized Web search. The research efforts got published in the ACM SIGIR conference. Currently it has more than 240 citations.
Shengliang Xu Skills
Shengliang Xu Education Details
-
University Of WashingtonComputer Science -
University Of WashingtonComputer Science
-
Shanghai Jiao Tong UniversityComputer Science
-
Shanghai Jiao Tong UniversityComputer Science
Frequently Asked Questions about Shengliang Xu
What company does Shengliang Xu work for?
Shengliang Xu works for Nvidia
What is Shengliang Xu's role at the current company?
Shengliang Xu's current role is Deep Learning @ NVIDIA | OmniML.
What is Shengliang Xu's email address?
Shengliang Xu's email address is sx****@****ton.edu
What schools did Shengliang Xu attend?
Shengliang Xu attended University Of Washington, University Of Washington, Shanghai Jiao Tong University, Shanghai Jiao Tong University.
What are some of Shengliang Xu's interests?
Shengliang Xu has interest in Social Services, Children, Environment, Education, Health.
What skills is Shengliang Xu known for?
Shengliang Xu has skills like C++, Java, Distributed Systems, Big Data, Python, Data Mining, Data Processing, Algorithms, Computer Science, C, Concurrent Programming, Latex.
Who are Shengliang Xu's colleagues?
Shengliang Xu's colleagues are Ashish Badgujar, Matt Cote, Rohan Dhekane, Alex Sloboda, Shinae Woo, Sharan Dale, Kuldeep Tyagi.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial