Kai Huang Email & Phone Number

Shanghai City, China

🔹Main contributor to BigDL and Analytics Zoo to build large-scale AI applications for distributed big data- GitHub: https://github.com/intel-analytics/BigDL- Website: https://bigdl.readthedocs.io/🔹Successfully helped customers (MasterCard, Yahoo! JAPAN, Dangdang, China Telecom, Burger King, Microsoft Azure, Tencent, IQIYI, Glodwind etc.) work out end-to-end AI solutions (Recommendation, Natural Language Processing, Time Series Forecast, etc.) on big data platforms.🔹Selected Session Talks:- "Use Intel Analytics Zoo to build an intelligent QA Bot for Microsoft Azure" at Shanghai Spark+AI 15th meetup- "Real-time product recommendations leveraging deep learning on Apache Spark in Office Depot" at O'Reilly AI Conference Beijing 2019- "Analytics Zoo - Building Unified Big Data Analytics and AI Pipelines" at WAIC Developer Day 2019.- "Running Emerging AI Applications on Big Data Platforms with Ray On Apache Spark" at Spark + AI Summit 2020- "Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger King" at Data + AI Summit Europe 2020- "Project Orca: Easily scaling Python AI pipelines on big data platforms" at PyConChina 2020- "Offer Recommendation System with Apache Spark at Burger King" at Data + AI Summit 2021- "Mobile Order Click-Through Rate (CTR) Recommendation with Ray on Apache Spark at Burger King" at Ray Summit 2021🔹Publications:BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster: https://arxiv.org/abs/2204.01715Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants: https://arxiv.org/abs/2010.06197BigDL: A Distributed Deep Learning Framework for Big Data: https://arxiv.org/abs/1804.05839

Hong Kong

• Independently developed an online demo system "C-Explorer" using JSP and Servlet under the supervision of Dr. Reynold C.K. Cheng in the Department of Computer Science.• "C-Explorer" supports community visualization and exploration on large attributed graphs as well as comparison analysis on different community retrieval algorithms.• VLDB Paper Demo Stream: http://www.vldb.org/pvldb/vol10/p1885-fang.pdf• Project website: http://cexplorer.cs.hku.hk:8080/Demo/ (Unfortunately this is not maintained any further...)

Shanghai City, China

• Established a fully-functional web platform independently based on PHP Symfony framework according to business requirements to greatly simplify, record, trace and enhance the process of big data cleaning.• Encapsulated a Java API for data cleaning to identify whether an input field in Chinese is a name, organization or location by leveraging Stanford NLP libraries.• Conducted a presentation on JUnit usage summary.• Worked with the entire team to settle down the solution to further improve the existing software services and platforms.

Bachelor Of Engineering (B.Eng.), Computer Science, First Class Honours

Activities and Societies: Student Ambassador of the University of Hong Kong, Computer Society HKUSU, Residential Student Advisor of Starr.

Exchange, Mathematics And Computer Science, 95.5/100

• Exchange study in the first semester of the academic year 2015-2016. • Accomplished four courses in Computer Science and Mathematics.

High School Diploma, Science

Activities and Societies: Campus Journalist, Broadcasting Station Disc Jockey, Editor of School Magazine• Top 1% in 2013 Shanghai National.