Chris Fregly's Email & Phone Number

💼 Past Experience

Chris Fregly has Sourced and implemented AI and machine learning functionality on AWS using the Apache Spark and various AI frameworks. Previously, Chris Fregly founded and CEO at PipelineAI, a company that powers thelargest real-time enterprise AI platform in the world. In his previous roles at Databricks and FluxCapacitor, Chris has worked with the following companies to implement and tune real-time big data Workflows with Apache Spark ML and Various AI Frameworks: Andreessen Horowitz, Apple, Charter Communications, Cisco, Cloudability, ContrastCloud, Coursera, CVS/Caremark, Databricks, Disney, Eucalyptus, Eventbrite, GAP, Greylock Partners, IBM, Loyal3, , Metacog, Netflix, Prezi.com, Riot Games, Samsung, SportXast, Stackdriver (now Google), Various Stealth Startups, Time Warner Cable, ZScalarKey Technologies:Amazon Web Services (AWS), Hadoop, MapReduce, Sqoop, HDFS, Elastic MapReduce, Hive, Pig, YARN, Mesos, HBase, Cassandra, Spark, Spark SQL, BlinkDB, ZooKeeper, ElasticSearch, Solr, Lucene, AWS CloudSearch, Redis, Memcache, Spark Streaming, Storm, Flume, Kafka, AWS Kinesis, Mahout, Spark MLLib, Python NLTK NLP Toolkit, GraphLab, Giraph, Spark. Speaking and Mentoring Engagements:Hadoop Summit SJ June 2016, Apache Big Data Con Vancouver May 2016, Kafka Summit SF May 2016, Big Data By The Bay May 2016, General Assembly Fellowship Mentor and Speaker May 2016, DataEng Conf SF April 2015, Big Data By The Bay Aug 2015, Insight Data Engineering Fellowship Mentor and Speaker June 2015, LA Big Data Conference June 2015, Hadoop Summit San Jose: Spark & Data Science June 2015 (Top 5 Rated Talk Overall!!), Real-time Big Data Conference Santa Clara June 2015, Washington DC Spark Users Group June 2015, Chicago Apache Users Group Apr 2015, Orange County Hadoop Users Group Feb 2015, LA Apache Users Group Feb 2015, Global Big Data Conference Jan 2015, Insight Data Engineering Fellowship Speaker and Mentor Jan 2015, Data Days Jan 2015, East Bay Java User Group Oct 2014, Cassandra Summit Sept 2014, Global Big Data Conference Sept 2014, Advanced AWS Meetup Aug 2014, OSCON July 2013, Velocity June 2013.

🎓 Education

Chris Fregly has a B.S. in computer science from Northwestern University. The program which he received gave him the skills and experience to pursue a career in computer science. After a few years of continuing education, he obtained his M.S. in computer science from NYU. While at NYU, he also completed a three-year computing research fellowship. This Fellowship gave him the opportunity to work on a real-world project that required him to use computer science skills. This project also gave him the opportunity to teach computer science concepts to other students. While at NYU, Fregly also spent time in the Computer Science Department's offers of guest lecturer positions. These positions gave him the opportunity to lecture on various aspects of computer science, as well as to work with other students in the computer science department.Since he obtained his M.S. in computer science, Chris Fregly has worked as anIntern at Google. This experience gave him the skill set and experience to pursue a career in artificial intelligence and machine learning. He has also been a guest lecturer at many universities around the world, most recently at UC Berkeley. Finally, he has completed a two-year post-doctoral Fellowship at UC Berkeley. This Fellowship provided him with the training and experience to develop new methods for artificial intelligence and machine learning.

💡 Technical & Interpersonal Skills

Chris Fregly is currently a Founder, Advanced Kubeflow AI Meetup (100,000 Global Members) at Meetup in http://www.meetup.com/Advanced-Kubeflow/. Home: https://meetup.com/Advanced-KubeflowYouTube Videos: https://youtube.pipeline.aiSlideShare: https://slideshare.pipeline.ai. Chris Fregly has coached and been mentored by AI and machine learning experts at a high level, working on both big data and data science projects. He has been working in the software engineering field for over 10 years and has a strong background in big data, data science, and artificial intelligence.Chris is a moderator and organizer for AI and machine learning meetups, and has been training people in the use of these technologies for the past few years. He has a good relationship with other technical and corporate leaders in the field. He loves to give presentations and speak on various AI-based issues.