Thomas DeLillo

Machine Learning Engineer Intern at MajorBoost
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Boston

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer Intern
      • Apr 2023 - Present

      In my role at MajorBoost, I leverage generative AI techniques and machine learning to streamline the utilization of our innovative healthcare AI product. I developed an AI-driven phone call analysis product that automates the tagging of phone call features to manage significant increases in call volume. Additionally, I work with company data to shape our customers' usage metrics, contributing to data-driven strategies that optimize the performance and impact of our healthcare solutions. In my role at MajorBoost, I leverage generative AI techniques and machine learning to streamline the utilization of our innovative healthcare AI product. I developed an AI-driven phone call analysis product that automates the tagging of phone call features to manage significant increases in call volume. Additionally, I work with company data to shape our customers' usage metrics, contributing to data-driven strategies that optimize the performance and impact of our healthcare solutions.

    • United Kingdom
    • Higher Education
    • 700 & Above Employee
    • Graduate Research in Bioinformatics
      • Jun 2022 - Sep 2022

      For my master's thesis, I designed and optimized classification and regression models using Random Forest, SVM, and XGBoost algorithms to predict psoriasis UVB phototherapy treatment outcomes. Specifically, I improved the accuracy of UVB phototherapy treatment outcome predictions. My methodology and some code snippets are available below. For my master's thesis, I designed and optimized classification and regression models using Random Forest, SVM, and XGBoost algorithms to predict psoriasis UVB phototherapy treatment outcomes. Specifically, I improved the accuracy of UVB phototherapy treatment outcome predictions. My methodology and some code snippets are available below.

    • United States
    • Photography
    • 100 - 200 Employee
    • Assistant Photographer
      • Jun 2021 - Sep 2021
    • United States
    • Higher Education
    • 300 - 400 Employee
    • Undergraduate GIS Research Analyst
      • Jan 2021 - May 2021

      I optimized geospatial data for machine learning algorithms, processed trans-continental temporal and audio data in ArcGIS Pro, and linked data with Landsat 8 satellite imagery to create raster and mosaic datasets. I optimized geospatial data for machine learning algorithms, processed trans-continental temporal and audio data in ArcGIS Pro, and linked data with Landsat 8 satellite imagery to create raster and mosaic datasets.

    • United States
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Ophthalmic Scribe
      • May 2019 - Aug 2020

      As an ophthalmic scribe, I measured patients' ocular properties, operated optical imaging & computing systems, sterilized and administered topical anesthesia prior to intravitreal injections and laser procedures, and collaborated with physicians and other healthcare professionals to verify ocular medications and prescriptions. As an ophthalmic scribe, I measured patients' ocular properties, operated optical imaging & computing systems, sterilized and administered topical anesthesia prior to intravitreal injections and laser procedures, and collaborated with physicians and other healthcare professionals to verify ocular medications and prescriptions.

Education

  • Newcastle University
    Master of Science, Computer Science
    2021 - 2022
  • Saint Anselm College
    Bachelor of Arts, Biology, Chemistry Minor
    2017 - 2021
  • Griffith University
    Environmental Biology
    2020 - 2020

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