John L.
VP, AI and ML at Stealth-mode StartUp company- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Credentials
-
Exploratory Data Analysis
Johns Hopkins UniversityOct, 2015- Nov, 2024 -
R Programming
Johns Hopkins UniversityOct, 2015- Nov, 2024 -
The Data Scientist’s Toolbox
Johns Hopkins UniversityOct, 2015- Nov, 2024 -
Introduction to Big Data Analytics
University of California, San DiegoSep, 2015- Nov, 2024 -
Machine Learning
Stanford UniversitySep, 2015- Nov, 2024 -
Building a Data Science Team
Johns Hopkins UniversityAug, 2015- Nov, 2024 -
Getting and Cleaning Data
Johns Hopkins UniversityAug, 2015- Nov, 2024 -
Introduction to Big Data
University of California, San DiegoJul, 2015- Nov, 2024 -
Hadoop Platform and Application Framework
University of California, San DiegoJun, 2015- Nov, 2024 -
A Crash Course in Data Science
Johns Hopkins UniversityMay, 2015- Nov, 2024 -
Certified ScrumMaster
Scrum Alliance
Experience
-
Stealth-mode StartUp company
-
Israel
-
Technology, Information and Internet
-
1 - 100 Employee
-
VP, AI and ML
-
Sep 2019 - Present
-
-
-
-
Director of Data Science
-
2019 - Sep 2019
-
-
-
Accenture
-
Ireland
-
Business Consulting and Services
-
700 & Above Employee
-
AI and ML Leadership
-
2018 - 2019
-
-
-
DEBRITT SYSTEMS, LLC
-
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)
-
-
-
Cisco
-
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.
-
-
-
Asyst Technologies
-
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