Deming Chen
Abel Bliss Professor of UIUC, Chairman of Inspirit IoT, Inc, IEEE Fellow
Champaign, Illinois, United States Contact info
From January 2015, she started to practice leetcode questions; she trains herself to stay focus, develops "muscle" memory when she practices those questions one by one. 2015年初, Julia开始参与做Leetcode, 开通自己第一个博客. 刷Leet code的题目, 她看了很多的代码, 每个人那学一点, 也开通Github, 发表自己的代码, 尝试写自己的一些体会. She learns from her favorite sports – tennis, 10,000 serves practice builds up good memory for a great serve. Just keep going. Hard work beats talent when talent fails to work hard.
Thursday, July 28, 2022
Carol Zhang | Linkedin profile
Here is the link.
- Senior Staff Machine Learning Engineer/Senior Tech LeadershipSenior Staff Machine Learning Engineer/Senior Tech LeadershipPinterest · Full-timePinterest · Full-timeOct 2020 - Present · 1 yr 10 mosOct 2020 - Present · 1 yr 10 mosPalo Alto, California, United StatesPalo Alto, California, United States
- • Senior Tech Leadership for Shopping discovery recommendation and ranking.
• Led the design and development of shopping discovery recommendation, built the brand new deep learning recommendation foundations, and successfully shipped many brand new recommenders as “People also view”, “People also Bought”, “Frequently bought together”, “People also search”, etc., which brought significant positive GMV, CTR, CVR, and checkouts lift.
• As the Pioneer, led teams to explore the conversion data/model (checkout, add-to-cart, etc.) into Pinterest shopping, shipped the 1st conversion model of Pinterest Shopping, gained significant positive lift on the conversion metrics.
• Designed and led the personalized shopping recommendation development on different shopping surfaces and built the brand new personalized shopping recommendation system for shopping products.• Senior Tech Leadership for Shopping discovery recommendation and ranking. • Led the design and development of shopping discovery recommendation, built the brand new deep learning recommendation foundations, and successfully shipped many brand new recommenders as “People also view”, “People also Bought”, “Frequently bought together”, “People also search”, etc., which brought significant positive GMV, CTR, CVR, and checkouts lift. • As the Pioneer, led teams to explore the conversion data/model (checkout, add-to-cart, etc.) into Pinterest shopping, shipped the 1st conversion model of Pinterest Shopping, gained significant positive lift on the conversion metrics. • Designed and led the personalized shopping recommendation development on different shopping surfaces and built the brand new personalized shopping recommendation system for shopping products.
- Senior Staff Machine Learning Engineer/Senior Tech LeadershipSenior Staff Machine Learning Engineer/Senior Tech LeadershipJD.COM · Full-timeJD.COM · Full-timeApr 2017 - Oct 2020 · 3 yrs 7 mosApr 2017 - Oct 2020 · 3 yrs 7 mosMountain View, California, United StatesMountain View, California, United States
- • Senior Tech Leadership for E-Commerce search and recommendations.
• Design and lead the personalized search ranking and content recommendations system and applications development, develop Machine Learning, Deep Learning, NLP, and Reinforcement Learning algorithms for critical product recognition, attributes words mining, customer review mining, trending product prediction, search relevance, personalized ranking, and content recommendations.
• Lead the development of machine learning, deep learning, and NLP algorithms, models, end to end pipeline for the offline entire population and industry-scale online incremental prediction, using Spark Machine Learning Library (MLlib, like Word2vec, Kmeans, Logistic Regression, GBDT, Naive Bayes), Tensorflow Deep Learning (KNN, RNN, LSTM, Attention, Wide and Deep, DNN, CNN), NLP(BOW, N-gram), XGBoost, Reinforcement learning, Keras, Sklearn, etc.
• Authorized 1 U.S. invention patent.• Senior Tech Leadership for E-Commerce search and recommendations. • Design and lead the personalized search ranking and content recommendations system and applications development, develop Machine Learning, Deep Learning, NLP, and Reinforcement Learning algorithms for critical product recognition, attributes words mining, customer review mining, trending product prediction, search relevance, personalized ranking, and content recommendations. • Lead the development of machine learning, deep learning, and NLP algorithms, models, end to end pipeline for the offline entire population and industry-scale online incremental prediction, using Spark Machine Learning Library (MLlib, like Word2vec, Kmeans, Logistic Regression, GBDT, Naive Bayes), Tensorflow Deep Learning (KNN, RNN, LSTM, Attention, Wide and Deep, DNN, CNN), NLP(BOW, N-gram), XGBoost, Reinforcement learning, Keras, Sklearn, etc. • Authorized 1 U.S. invention patent.
- Principal Software EngineerPrincipal Software EngineerGridX, Inc. · Full-timeGridX, Inc. · Full-timeAug 2015 - Apr 2017 · 1 yr 9 mosAug 2015 - Apr 2017 · 1 yr 9 mosSan Francisco Bay Area, United StatesSan Francisco Bay Area, United States
- • Principal Software Engineer, Helped the company win the most significant long-term business customer projects after delivering the competitive distributed energy billing machine learning prediction framework, infrastructure, and technician achievements to cross-companies and external partners.
• Conceived and established a new distributed energy billing machine learning prediction platform based on Amazon Web services (AWS) with EC2, EBS, VPC, NAT, S3, KMS, Route 53, CloudFormation, Athena, etc.
• Developed machine learning billing prediction models system with Spark, Spark MLlib, Akka, Cassandra, and Mysql to serve batch and real-time billing.
• Designed a workflows management system to automatically generate, deploy and execute many pipeline workflows with Azkaban.• Principal Software Engineer, Helped the company win the most significant long-term business customer projects after delivering the competitive distributed energy billing machine learning prediction framework, infrastructure, and technician achievements to cross-companies and external partners. • Conceived and established a new distributed energy billing machine learning prediction platform based on Amazon Web services (AWS) with EC2, EBS, VPC, NAT, S3, KMS, Route 53, CloudFormation, Athena, etc. • Developed machine learning billing prediction models system with Spark, Spark MLlib, Akka, Cassandra, and Mysql to serve batch and real-time billing. • Designed a workflows management system to automatically generate, deploy and execute many pipeline workflows with Azkaban.
- Senior Software EngineerSenior Software EngineerIntel Corporation · Full-timeIntel Corporation · Full-timeJul 2013 - Aug 2015 · 2 yrs 2 mosJul 2013 - Aug 2015 · 2 yrs 2 mos
- • Senior Software Engineer, Delivered cross-companies critical large-scaled machine learning projects to 10+ external customers/partner companies.
• Designed offline and online real-time distributed analysis machine learning system. Developed user classification, service recommendation, and advertising targeting system with Spark MLlib Logistic Regression, GBDT, SVM models, and 17 big data end to end ETL pipeline tools, including novel data compression (LZMA/ORC), HBase bulk-load, secondary indexer, near real-time full-text indexes/search with Solr/Lucene, paging query, near real-time load with Kafka and Spark streaming, log collection tool with Akka, etc.
• Authorized 1 U.S. invention patent as 1st author and Another U.S. disclosure.
• Published 1 EI indexed paper as 1st author for IEEE BigData 2014.• Senior Software Engineer, Delivered cross-companies critical large-scaled machine learning projects to 10+ external customers/partner companies. • Designed offline and online real-time distributed analysis machine learning system. Developed user classification, service recommendation, and advertising targeting system with Spark MLlib Logistic Regression, GBDT, SVM models, and 17 big data end to end ETL pipeline tools, including novel data compression (LZMA/ORC), HBase bulk-load, secondary indexer, near real-time full-text indexes/search with Solr/Lucene, paging query, near real-time load with Kafka and Spark streaming, log collection tool with Akka, etc. • Authorized 1 U.S. invention patent as 1st author and Another U.S. disclosure. • Published 1 EI indexed paper as 1st author for IEEE BigData 2014.
- Senior Software EngineerSenior Software EngineerCloudera · Full-timeCloudera · Full-timeJul 2013 - Aug 2015 · 2 yrs 2 mosJul 2013 - Aug 2015 · 2 yrs 2 mos
- • Senior Software Engineer, Designed and implemented critical distributed analysis and machine learning solutions. Led the development of a machine learning platform for Cloudera industry partners with Spark MLlib, SparkR, Mahout, Kafka, Flume, Yarn, HDFS, HBase, Hive, Pig and Impala, etc. Developed and tuned machine learning algorithms/models (K-means, GBDT, etc.) for clustering and prediction based on historical data.
• Cloudera Certified Data Scientist CCP: DS
• Cloudera Certified Administrator for Apache Hadoop (CCAH)
• Cloudera Certified Developer for Apache Hadoop (CCDH)
• Cloudera Certified Specialist in Apache HBase (CCSHB)• Senior Software Engineer, Designed and implemented critical distributed analysis and machine learning solutions. Led the development of a machine learning platform for Cloudera industry partners with Spark MLlib, SparkR, Mahout, Kafka, Flume, Yarn, HDFS, HBase, Hive, Pig and Impala, etc. Developed and tuned machine learning algorithms/models (K-means, GBDT, etc.) for clustering and prediction based on historical data. • Cloudera Certified Data Scientist CCP: DS • Cloudera Certified Administrator for Apache Hadoop (CCAH) • Cloudera Certified Developer for Apache Hadoop (CCDH) • Cloudera Certified Specialist in Apache HBase (CCSHB)
- Staff Software EngineerStaff Software EngineerIBM · Full-timeIBM · Full-time2010 - Jul 2013 · 3 yrs 7 mos2010 - Jul 2013 · 3 yrs 7 mos
- • Tech Lead, Initial core founder of IBM InfoSphere® BigInsights™ product, Hadoop/HBase/Zookeeper developer.
• As the Core Founder of IBM InfoSphere® BigInsights™ Product, delivered 13 BigInsights releases, owned the development of 24 components, including NLP Text-analytics, bigsheets, HBase full/incremental backup and restore, Hadoop, HBase, ZooKeeper, Jaqlserver, Jaql, GPFS integration, etc.
• Granted IBM “First Patent Award” and “Best Innovation Award”, authorized 1 U.S. invention patents.• Tech Lead, Initial core founder of IBM InfoSphere® BigInsights™ product, Hadoop/HBase/Zookeeper developer. • As the Core Founder of IBM InfoSphere® BigInsights™ Product, delivered 13 BigInsights releases, owned the development of 24 components, including NLP Text-analytics, bigsheets, HBase full/incremental backup and restore, Hadoop, HBase, ZooKeeper, Jaqlserver, Jaql, GPFS integration, etc. • Granted IBM “First Patent Award” and “Best Innovation Award”, authorized 1 U.S. invention patents.
- Microsoft Campus Ambassador InternMicrosoft Campus Ambassador InternMicrosoft · InternshipMicrosoft · Internship2008 - 2010 · 2 yrs2008 - 2010 · 2 yrs
- • The Microsoft Postgraduate Campus Ambassador of Zhejiang University, China.• The Microsoft Postgraduate Campus Ambassador of Zhejiang University, China.
- Software Engineer InternSoftware Engineer InternIBM · InternshipIBM · Internship2009 · Less than a year2009 · Less than a year
- • IBM “Extreme Blue Program” - acceptance rate: 20/4500
• IBM "Extreme Blue" internship project, developed initial "Cloud-enabled EHR" project EHR data visualization tool-set widgets platform with cloud computing (Saas) technology as the Dev Team Lead.• IBM “Extreme Blue Program” - acceptance rate: 20/4500 • IBM "Extreme Blue" internship project, developed initial "Cloud-enabled EHR" project EHR data visualization tool-set widgets platform with cloud computing (Saas) technology as the Dev Team Lead.
- Software Engineer InternSoftware Engineer InternNokia · InternshipNokia · Internship2007 · Less than a year2007 · Less than a year
- JANINA platform developer in IPA2800
Subscribe to:
Posts (Atom)