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Basics

Name Dan Smith
Label Data Scientist
Email dsmith.smith864@gmail.com
Url https://smith478.github.io/
Summary Data Scientist with an interest in medical applications

Work

  • 2025.10 - Now
    Staff Data Science Engineer
    Censys
    Building host reputation scoring and automated cybersecurity fingerprint generation using LLMs.
    • Built host reputation scoring system in Go that assigns reputation scores to IPs at scale
    • Developed automated cybersecurity fingerprint generation pipeline using LLMs and an evolutionary approach
  • 2024.06 - 2025.10
    Full Stack AI Engineer
    MOTOR Information Systems
    Using LLMs to extract structure out of unstructured text.
    • Used dynamic RAG to extract classification from unstructured text
    • Helped build production application in Sagemaker and Kubeflow
    • Built agentic system to standardize raw manufacturer text data
  • 2019.08 - 2024.06
    Lead Data Scientist
    Instinct Science
    Building out Analytics and Data Science applications, developing and deploying machine learning models, and setting up cloud infrastructure for reporting.
  • 2017.08 - 2024.06
    Senior Data Scientist - Consultant
    Rocket Mortgage
    Build and support computer vision, large language, and multimodal models focused on automated processing of financial and appraisal documents.
  • 2014.07 - 2017.08
    Actuarial Technician
    Auto-Owners Insurance
    Built models to predict claim severity and frequency to price commercial insurance policies.
  • 2013.07 - 2014.07
    Visiting Assistant Professor
    Furman University
    Conducted research in the area of differential geometry and taught undergraduate courses in mathematics.

Education

  • 2007.08 - 2013.08

    East Lansing, MI

    Ph.D.
    Michigan State University
    Mathematics
    • Thesis: Stability of the almost Hermitian curvature flow
  • 2002.08 - 2007.08

    East Lansing, MI

    B.Sc.
    Michigan State University
    Mathematics

Projects

Skills

Deep Learning
Transformers - Language and Vision
Computer Vision - Classification, Localization, Object Detection
TensorFlow
PyTorch
HuggingFace
Classical Machine Learning
Generalized Linear Models
Ensemble Models - Random Forest, Gradient Boosting
Support Vector Machines
Statistical Methods - ANOVA, Clustering, PCA
Programming
Python
Go
SQL
Git
Docker
AWS

Publications

Volunteer

  • 2018.02 - 2018.05
    Instructor
    Detroit Area Pre-College Engineering Program (DAPCEP)
    Taught middle school students programing and hardware basics.
    • Built raspberry pi based computers
    • Taught basic programming
  • 2016.10 - 2017.08
    Data Analyst
    Volunteers of America
    Performed data analytics on the effectiveness of programs.
    • Performed exploratory data analysis on medical data to support grant applications

Certificates

Exam S (Statistics and Probabilistic Models)
Casualty Actuarial Society 2016-05
Exam MFE (Models for Financial Economics)
Casualty Actuarial Society 2014-11
Exam FM (Financial Mathematics)
Casualty Actuarial Society 2014-06
Exam P (Probability)
Casualty Actuarial Society 2014-03