Pat Jenkins Email & Phone Number
@comcast.com
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Who is Pat Jenkins? Overview
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Pat Jenkins is listed as Machine Learning Engineer and Researcher focused on NLP, AI, and Data Science. No defense or cleared positions. at Upside, a with 30 employees, based in Frederick, Maryland, United States. AeroLeads shows a work email signal at comcast.com and a matched LinkedIn profile for Pat Jenkins.
Pat Jenkins previously worked as Senior Machine Learning Engineer II at Upside and Senior Machine Learning Engineer at Comcast. Pat Jenkins holds Master Of Science - Ms, Computer Science from University Of Maryland Baltimore County.
Email format at Upside
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AeroLeads found 1 current-domain work email signal for Pat Jenkins. Compare company email patterns before reaching out.
About Pat Jenkins
Maryland based computer scientist interested in machine learning, natural language processing, computer vision, artificial intelligence, and data science.
Pat Jenkins's current company
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Pat Jenkins work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Engineer
Key contributor to the development of critical NLP software, supporting over 300M voice remote queries per week across multiple platforms.Elevated machine learning and REST debugging capabilities by orchestrating the migration of data storage from Elasticsearch to PostgreSQL.Achieved 100% accuracy in entity retrieval and resolution for English, French, and Spanish P0 user queries through strategic management of weekly quality review meetings.
Machine Learning Engineer
Engineered a dialog text generation model using Python and TensorFlow, empowering customer service workers to resolve 40% more user tickets.Researched and developed semantic entity resolution models with Python, TensorFlow, and SQL for entertainment catalog retrieval, enabling users to query shows and movies based on user-defined synopses.
Graduate Teaching And Research Assistant
Developed cutting-edge neural network architectures with PyTorch for object recognition from natural language descriptions.Taught classes and created lecture materials as a teaching assistant for Graduate AI and Robotics courses.
Engineer Cognitive Software
Attained over 90% accuracy in classifying malicious internet packets by developing neural network algorithms with Scikit Learn.Designed and prototyped a document classification machine learning DLL.
Cryptologic Computer Scientist
Researched security and adversarial examples in computer vision, machine learning, and neural networks.Presented work to developers and mathematicians at weekly machine learning technical exchanges.Researched and implemented state-of-the-art graph algorithms for community detection.Presented research successes to academic and industry experts at Graph Fest 2017.
Software Developer
Developed Angular 2 and Javascript interface for Becton Dickinson’s Kiestra lab automation.Developed .NET web application to pre-screen potential hires.
Programming Intern
Designed relational SQL database for FDA adverse drug reaction dataDeveloped web application for adverse drug reaction prediction
Technical Intern
Developed web application in PHP to parse log data for quick response feedback from ARGUS systems.Created and maintained C++ program to analyze files for defective sensor image pixels.Used PHP, MySQL, HTML and CSS to create disk library tracker.Created Python scripts to format ArduPilot flight path text files.
Colleagues at Upside
Other employees you can reach at upside.com.br. View company contacts for 30 employees →
Nora Langan
Colleague at UpsideWashington, District Of Columbia, United States
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Denisse Mejia
Colleague at UpsideGarnerville, New York, United States
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Caitlin Gottier
Colleague at UpsideAustin, Texas, United States
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Hayley Miller
Colleague at UpsideDenver, Colorado, United States
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Sydney Morris
Colleague at UpsideAustin, Texas, United States
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JM
Jordan Mack
Colleague at UpsideAtlanta, Georgia, United States
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Valerio Santo
Colleague at UpsideMilan, Lombardy, Italy
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Ryan Frueh-Morrissey
Colleague at UpsideDenver, Colorado, United States
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Kristen Bierman
Colleague at UpsideWashington Dc-Baltimore Area, United States
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Clarice Diane Entrada
Colleague at UpsideBacoor, Calabarzon, Philippines
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Pat Jenkins education
Master Of Science - Ms, Computer Science
Bachelor’S Degree, Mathematics And Computer Science, 3.593
Frequently asked questions about Pat Jenkins
Quick answers generated from the profile data available on this page.
What company does Pat Jenkins work for?
Pat Jenkins works for Upside.
What is Pat Jenkins's role at Upside?
Pat Jenkins is listed as Machine Learning Engineer and Researcher focused on NLP, AI, and Data Science. No defense or cleared positions. at Upside.
What is Pat Jenkins's email address?
AeroLeads has found 1 work email signal at @comcast.com for Pat Jenkins at Upside.
Where is Pat Jenkins based?
Pat Jenkins is based in Frederick, Maryland, United States while working with Upside.
What companies has Pat Jenkins worked for?
Pat Jenkins has worked for Upside, Comcast, University Of Maryland Baltimore County, Northrop Grumman, and National Security Agency.
Who are Pat Jenkins's colleagues at Upside?
Pat Jenkins's colleagues at Upside include Nora Langan, Denisse Mejia, Caitlin Gottier, Hayley Miller, and Sydney Morris.
How can I contact Pat Jenkins?
You can use AeroLeads to view verified contact signals for Pat Jenkins at Upside, including work email, phone, and LinkedIn data when available.
What schools did Pat Jenkins attend?
Pat Jenkins holds Master Of Science - Ms, Computer Science from University Of Maryland Baltimore County.
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