Pat Jenkins
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Pat Jenkins Email & Phone Number

Machine Learning Engineer and Researcher focused on NLP, AI, and Data Science. No defense or cleared positions. at Upside
Location: Frederick, Maryland, United States 11 work roles 2 schools
1 work email found @comcast.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email p****@comcast.com
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Current company
Role
Machine Learning Engineer and Researcher focused on NLP, AI, and Data Science. No defense or cleared positions.
Location
Frederick, Maryland, United States
Company size

Who is Pat Jenkins? Overview

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Quick answer

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.

Company email context

Email format at Upside

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{first}_{last}@comcast.com
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AeroLeads found 1 current-domain work email signal for Pat Jenkins. Compare company email patterns before reaching out.

Profile bio

About Pat Jenkins

Maryland based computer scientist interested in machine learning, natural language processing, computer vision, artificial intelligence, and data science.

Current workplace

Pat Jenkins's current company

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Upside
Upside
Machine Learning Engineer and Researcher focused on NLP, AI, and Data Science. No defense or cleared positions.
melbourne, victoria, australia
Website
Employees
30
AeroLeads page
11 roles

Pat Jenkins work experience

A career timeline built from the work history available for this profile.

Senior Machine Learning Engineer Ii

Current

Washington, District Of Columbia, United States

Sep 2024 - Present

Senior Machine Learning Engineer

Washington, District Of Columbia, United States

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.

Sep 2021 - Dec 2023

Machine Learning Engineer

Washington, District Of Columbia, United States

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.

Sep 2020 - Jun 2023

Graduate Teaching And Research Assistant

Baltimore, Maryland, United States

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.

Sep 2019 - Aug 2020

Engineer Cognitive Software

Annapolis Junction, Maryland, United States

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.

Jul 2018 - Aug 2019

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.

Aug 2016 - Jun 2018

Software Developer

Hunt Valley, Md

Developed Angular 2 and Javascript interface for Becton Dickinson’s Kiestra lab automation.Developed .NET web application to pre-screen potential hires.

Jan 2016 - Jun 2016

Programming Intern

Baltimore, Maryland

Designed relational SQL database for FDA adverse drug reaction dataDeveloped web application for adverse drug reaction prediction

Jun 2015 - Aug 2015

Teacher'S Assistant

Ellicott City, Maryland

Led engineering and simple machine curricula for grades 1-5.

Feb 2015 - May 2015

Technical Intern

Columbia, Maryland

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.

Jun 2011 - Aug 2014
Team & coworkers

Colleagues at Upside

Other employees you can reach at upside.com.br. View company contacts for 30 employees →

2 education records

Pat Jenkins education

Bachelor’S Degree, Mathematics And Computer Science, 3.593

Activities and Societies: Chess Club Mama's Boys Acapella UMBC Orchestra UMBC Wind Ensemble Pi Kappa Phi FraternityStarted as a Music.

FAQ

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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