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Accomplished machine learning engineer with a demonstrated history of working in both computer vision and natural language processing. While pursing a bachelors and masters degree in computer science simultaneously, performed research in deontic and doxastic logics as well as machine learning applications towards automated theorem proving at the Rensselaer AI and Reasoning (RAIR) Lab on behalf of Rensselaer Polytechnic Institute and IBM. Post graduate school, began working at KeyMe Inc. as a Senior Machine Learning Engineer, applying state-of-the-art machine/deep learning models towards computer vision goals like semantic segmentation, object detection, and image classification. After moving on from KeyMe, began working at Sigma Ratings Inc., managing big data ETL pipelines through spark and applying state-of-the-art transformer-based deep learning models in the NLP domain for the purpose of entity resolution, relation extraction, and text classification.
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Director Of Data Science And Machine LearningSigma RatingsNew York, United States
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Director Of Data Science And Machine LearningSigma Ratings Jan 2022 - PresentManhattan New York, New York, Us -
Lead Machine Learning EngineerSigma Ratings Apr 2020 - Jan 2022Manhattan New York, New York, Us
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Machine Intelligence EngineerKeyme Jul 2016 - Apr 2020Hebron, Kentucky, Us• Revolutionized core product performance by replacing existing computer vision classification methods with deep learning alternatives via tensorflow, driving accuracy into asymptotic range.• Dramatically improved object measuring/detection/tracking capabilities w.r.t. both time and accuracy via substituting traditional computer vision methods with semantic segmentation based methods and GANs.• Managed and participated in a team responsible for embedding smart features into tools used internally by KeyMe’s fulfilment team, effectively saving hundreds of hours per week in human effort.• Envisioned, designed, and implemented a unit/regression CI test suite via pytest and docker for KeyMe’s core product and supplementary services.• Combined traditional machine learning techniques and time series analysis to help the company better select specific stores in specific geographical regions in which the core product would thrive. -
Project Manager And Software DeveloperRensselaer Artificial Intelligence And Reasoning Laboratory May 2015 - May 2016● Managed a team to create a stateoftheart automated theorem prover capable of reasoning with analogies while looking for a proof. ● Used machine learning techniques to extract analogies from word embeddings created through deep learning. ● Leveraged the Deontic Cognitive Event Calculus (DCEC*) logical framework to reason over beliefs, desire, intentions, obligations, and perception. ● Used MySQL to create a database of DCEC* statements used for proof discovery in natural deduction.
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Software DeveloperRensselaer Artificial Intelligence And Reasoning Laboratory Aug 2014 - May 2015● Developed software to actively listen and engage in conversations in a simulated boardroom environment. ● Managed large volumes of unstructured information with the Python NLTK platform. ● Used IBM’s Watson along with a logical framework developed at the RAIR Lab to reason over the information.
Nicholas Marton Skills
Nicholas Marton Education Details
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Rensselaer Polytechnic InstituteComputer Science -
Rensselaer Polytechnic InstituteComputer Science
Frequently Asked Questions about Nicholas Marton
What company does Nicholas Marton work for?
Nicholas Marton works for Sigma Ratings
What is Nicholas Marton's role at the current company?
Nicholas Marton's current role is Director of Data Science and Machine Learning.
What is Nicholas Marton's email address?
Nicholas Marton's email address is nicholas@key.me
What is Nicholas Marton's direct phone number?
Nicholas Marton's direct phone number is +185667*****
What schools did Nicholas Marton attend?
Nicholas Marton attended Rensselaer Polytechnic Institute, Rensselaer Polytechnic Institute.
What skills is Nicholas Marton known for?
Nicholas Marton has skills like Python, Deep Learning, Computer Vision, C++, Machine Learning, Theano, Lasagne, Git, Amazon Web Services, Scikit Learn, Numpy, Pandas.
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