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Baoxu (Dash) Shi574-386-3807 | [email protected] | http://github.com/bxshi | http://www.linkedin.com/in/baoxushi
SUMMARY
Looking for 2018 Software Engineer/R&D/Data analyst full-time positions Specialize in solving large-scale problems in Deep Learning, Data Mining, and Knowledge
Graphs Have industry experience on Entity Linking, Recommendations, C/S API, and Linux
systemsPROFESSIONAL EXPERIENCE
Microsoft Software Engineer Intern at Microsoft (Bing) May 2016 – August 2016 Coordinated with Entity Linking and Knowledge Graph teams to build lower-dimensional
representations for every entity used in Bing Search using network topological features Assessed state-of-the-art entity linking methods, briefed to the Entity Linking team and
formulated the long term plan of developing a deep learning model to replace the current feature-based system
Designed and Implemented Bing’s first deep learning Entity Linking sub-system, which outperforms their existing model and decreased the complexity of current multi-model system
Developed the offline training system using Python and Theano and an online inference module which integrated into their existing pipeline using C#
Xinmei365 Co., Ltd Software Development Engineer (Backend) September 2012 – June 2013 Managed a wallpaper application server with 200K visitors per day; Designed auto-
publishing system to reduce the workload of editors; Reduced average response time by applying load balance technics
Led and developed a generic, cross platform, round-based multiplayer game server which is similar to Apple’s turn-based matches sever using Node.js, WebSocket, and Redis
EDUCATION AND RESEARCH EXPERIENCE
University of Notre Dame Notre Dame, INPh.D. candidate in Computer Science and Engineering Anticipated May 2018 Created a Knowledge Graph link prediction algorithm that outperforms state-of-the-art
methods by 35% Created a fast algorithm to evaluate the veracity of statements using meta path and
knowledge graphs; Increased the accuracy performance by 55% comparing to other approaches; Designed an automatic statement reasoning framework
Ported a small scale PageRank topic modeling system into a distributed, web scale system which can generate a customized hierarchy of entire Wikipedia that akin to human annotated category in hours
Nankai University Tianjin, ChinaBachelor of Science in Software Engineering May 2013 Designed and implemented a multithreaded, user space network filesystem in C on Linux
with multiple read ahead policies and block-level local working set to minimize local cache size
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TECHNICAL EXPERIENCE AND SKILLS
Contributed to several open source projects including Spark, nghttp2, librdf, etc. Experienced in data mining platforms and technics, i.e., Spark, Theano, Tensorflow and
MapReduce Proficient in C/C++ and Python, Skilled in R, Java, Git, JavaScript, SQL, and Scala