John L.

VP, AI and ML at Stealth-mode StartUp company
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area, US

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Credentials

  • Exploratory Data Analysis
    Johns Hopkins University
    Oct, 2015
    - Nov, 2024
  • R Programming
    Johns Hopkins University
    Oct, 2015
    - Nov, 2024
  • The Data Scientist’s Toolbox
    Johns Hopkins University
    Oct, 2015
    - Nov, 2024
  • Introduction to Big Data Analytics
    University of California, San Diego
    Sep, 2015
    - Nov, 2024
  • Machine Learning
    Stanford University
    Sep, 2015
    - Nov, 2024
  • Building a Data Science Team
    Johns Hopkins University
    Aug, 2015
    - Nov, 2024
  • Getting and Cleaning Data
    Johns Hopkins University
    Aug, 2015
    - Nov, 2024
  • Introduction to Big Data
    University of California, San Diego
    Jul, 2015
    - Nov, 2024
  • Hadoop Platform and Application Framework
    University of California, San Diego
    Jun, 2015
    - Nov, 2024
  • A Crash Course in Data Science
    Johns Hopkins University
    May, 2015
    - Nov, 2024
  • Certified ScrumMaster
    Scrum Alliance

Experience

    • Israel
    • Technology, Information and Internet
    • 1 - 100 Employee
    • VP, AI and ML
      • Sep 2019 - Present

    • Director of Data Science
      • 2019 - Sep 2019

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • AI and ML Leadership
      • 2018 - 2019

    • United States
    • Software Development
    • VP, Data Science (Machine Learning and AI)
      • Jan 2016 - Jul 2018

      - Built and Led a AI/ML/Data Science Team with various skill sets (Machine Learning, Deep Learning, AI, Data Mining, SQL, NoSQL, Hadoop core and ecosystem components, Elastic Stack (Elastic Search, Logstash, Kibana, Beats)), etc.- Helped Devise Data Science Strategy in terms of Road Map, Technologies, Revenue Generation, etc - Improved revenue/customer retention/customer satisfaction by applying various machine learning algorithms in various domains (financial institution, publishing, departmental store, real estate, auto, big enterprise, small business, etc)- Applied various algorithms such as ANN, CNN, SVM (Support Vector Machines), clustering, decision trees, NLP, Naive Bayes, Apriori, recommender systems, regression, etc)

    • United States
    • Software Development
    • 700 & Above Employee
    • Senior Engineering Manager
      • 2012 - Nov 2015

      - Managed a Machine Learning project for prognosis of likely failures in the production environment using Logistic Regression. This was to identify components likely to fail and take proactive measures.- Worked with virtual data science teams and program managed experimental projects that used Hadoop (HDFS, MapReduce) and its ecosystem components such as Spark, Hive, Sqoop, etc.- Provided general guidance in choosing machine learning algorithms, and components from the Hadoop ecosystem (Flume vs Sqoop, Hive vs Impala, etc.)- Managed a project that implemented a machine learning application (Anomaly detection) to proactively detect failing systems in a data center environment.- Managed several projects that used machine learning algorithms (supervised and unsupervised)- Led a team of software engineers for the development of a Linux software framework that was used by diagnostics engineers to develop tests and run in parallel on a single board.- Improved manufacturing yield by optimizing test time and executing tasks in parallel. - Successfully led the design and development of Platform Diagnostics software for a complex Cable router platform. Significantly contributed to the customer shipment of this product.- Established interlocks and set expectations among Program Management, Hardware and Software Development, Testing and Manufacturing so that project execution is smooth without any major surprises and delays.- Actively involved in developing software specifications and guidelines for Software Engineering Process Group (SEPG) and software FMEA guidelines to meet SEI standards.

    • Software and Program Manager, Software Development
      • 2006 - 2012

      - Improved customer satisfaction by successfully delivering software features that provide RAS (Reliability, Accessibility and Serviceability) for router platforms. - Constantly improved quality of software by intensely focusing on root cause analysis of failures and feeding back in to the software design process by implementing FMEA methodology.- Planned, tracked and monitored project schedules and budgets. Interacted closely with executives & customers to resolve open & critical issues affecting projects. - Stayed up-to-date with latest technologies by successfully completing various online courses (from Stanford and Johns Hopkins) related to Data Science, Machine Learning, Statistics, etc.

    • Manager, Software Development
      • 2000 - 2005

      - Managed software delivery of hardware verification testing for several router platforms.- Successfully delivered various software features for multiple router platforms by actively participating in all the phases of the product life cycle from requirements gathering, design, development, testing to release.- Developed close relationships with leaders of other Cisco software organizations to share best practices, formulate better fault isolation techniques, and promote code reuse, ensuring higher quality of Cisco products.

    • Semiconductor Manufacturing
    • 1 - 100 Employee
    • Project Lead
      • 1996 - 1999

      - Automoation of Semiconductor Fabs using Robots and Software- Worked on projects using OO (object oriented) Languages such C++, Python- Developed scripts using PERL and Python for test automation. - Automoation of Semiconductor Fabs using Robots and Software- Worked on projects using OO (object oriented) Languages such C++, Python- Developed scripts using PERL and Python for test automation.

    • Software Engineer
      • 1992 - 1996

      - Developed cruise control firmware for GM made cars (Opal)- Developed firmware for ECM (engine control module) for Cummins for various features such as audit trail, optimal burning of fuels, fault collections, etc- Developed firmware for a diagnostic tool that plugs to the ECM to diagnose and collect fault information. - Developed cruise control firmware for GM made cars (Opal)- Developed firmware for ECM (engine control module) for Cummins for various features such as audit trail, optimal burning of fuels, fault collections, etc- Developed firmware for a diagnostic tool that plugs to the ECM to diagnose and collect fault information.

Education

  • Indiana State University
    Master's degree, Electronics and Computer Technology
    -
  • Udacity
    -

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