Patrick Mullen
Platform Engineer at Quantifind- Claim this Profile
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Bio
Experience
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Quantifind
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United States
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Software Development
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1 - 100 Employee
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Platform Engineer
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Jun 2021 - Present
Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. Show less
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Two Six Technologies
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United States
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Technology, Information and Internet
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300 - 400 Employee
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Lead Software Engineer, Machine Learning
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Feb 2019 - May 2021
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MITRE
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Machine Learning Engineer
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Oct 2017 - Feb 2019
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General Dynamics Mission Systems
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United States
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Defense and Space Manufacturing
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700 & Above Employee
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Senior Software Engineer
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Jun 2014 - Oct 2017
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University of Mary Washington
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United States
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Higher Education
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700 & Above Employee
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Independent Researcher
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May 2013 - Aug 2013
Researched and created a set-up of the saturated absorption spectroscopy of rubidium-87. Received first place at the summer symposium. Researched and created a set-up of the saturated absorption spectroscopy of rubidium-87. Received first place at the summer symposium.
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Education
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George Mason University
Master’s Degree, Data Analytics Engineering: Data Mining -
University of Mary Washington
Bachelor’s Degree, Computer Science -
University of Mary Washington
Bachelor’s Degree, Physics