Thursday, July 28, 2022

Carol Zhang | Linkedin profile

 Here is the link.

  • Senior Staff Machine Learning Engineer/Senior Tech Leadership
    Pinterest · Full-timeOct 2020 - Present · 1 yr 10 mosPalo 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.
  • JD.COM logo
    Senior Staff Machine Learning Engineer/Senior Tech Leadership
    JD.COM · Full-timeApr 2017 - Oct 2020 · 3 yrs 7 mosMountain 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.
  • GridX, Inc. logo
    Principal Software Engineer
    GridX, Inc. · Full-timeAug 2015 - Apr 2017 · 1 yr 9 mosSan 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.
  • Intel Corporation logo
    Senior Software Engineer
    Intel Corporation · Full-timeJul 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.
  • Cloudera logo
    Senior Software Engineer
    Cloudera · Full-timeJul 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)
  • IBM logo
    Staff Software Engineer
    IBM · Full-time2010 - 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.
  • Microsoft logo
    Microsoft Campus Ambassador Intern
    Microsoft · Internship2008 - 2010 · 2 yrs
      • • The Microsoft Postgraduate Campus Ambassador of Zhejiang University, China.
  • IBM logo
    Software Engineer Intern
    IBM · Internship2009 · 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.
  • Nokia logo
    Software Engineer Intern
    Nokia · Internship2007 · Less than a year

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