Dylan McIntosh

Machine Learning Engineer & Data Scientist

Professional Experience

Machine Learning Engineer Contractor

Pushbutton AI

Remote

December 2023 - January 2025

Key Responsibilities

  • Developed LLM API and deployed using Docker on Digital Ocean GPU cloud compute, cutting costs by 60%
  • Integrated web scraping RAG software with current product, improving customer retention by 15%
  • Conducted Bayesian analyses in R to evaluate digital product profitability and advertising investments

Technologies Used

Python Docker Digital Ocean LLM RAG R ggplot

Key Achievements

  • Reduced LLM API costs by 60% through optimization
  • Increased customer retention by 15% through RAG integration
  • Implemented data-driven advertising strategy using Bayesian analysis

AI & Software Engineer Contractor

MindReel

Remote

March 2024 - September 2024

Key Responsibilities

  • Architected system design for real time multimodal conversational AI startup
  • Developed backend API using Python with Flask and Langchain
  • Led technical team while managing stakeholder expectations

Technologies Used

Python Flask Langchain Docker Digital Ocean Git JavaScript

Key Achievements

  • Successfully designed and implemented scalable system architecture
  • Deployed efficient cloud-based solution using Docker
  • Managed technical team and stakeholder communications

Data Science Research Assistant

MIT - Dr. Nancy Tsai

Remote

November 2022 - August 2024

Key Responsibilities

  • Revived abandoned research project analyzing state test scores and cognitive metrics
  • Trained ML models to identify key predictive features using sklearn
  • Conducted statistical analysis on COVID-19 impacts using R

Technologies Used

Python sklearn R ggplot Statistical Analysis

Key Achievements

  • Successfully revitalized abandoned research project
  • Identified key cognitive metrics using random forests
  • Published comprehensive analysis of COVID-19 impacts on student performance

Data Science Intern

Mercury Insurance

Los Angeles, CA

June 2023 - August 2023

Key Responsibilities

  • Created data pipeline framework for testing GLM model iterations
  • Implemented custom performance metrics including relative MAE and GINI coefficient
  • Developed web application for employee timesheet process

Technologies Used

Python pandas sklearn H2O SQL ggplot

Key Achievements

  • Improved model risk assessment by 10-15%
  • Implemented company-wide timesheet solution
  • Presented findings to non-technical stakeholders

Data Science Research Assistant

Chapman University - TVIL Research Lab

Orange, CA

June 2022 - May 2023

Key Responsibilities

  • Analyzed 500 GB of VR 3D data to understand Human-VR interaction
  • Developed novel rule-based system for identifying user actions
  • Created visualizations to communicate spatial relationships

Technologies Used

Python Data Analysis ggplot 3D Data Processing

Key Achievements

  • Successfully processed and analyzed 500GB of complex 3D data
  • Created innovative rule-based identification system
  • Effectively presented findings through visualization

Education

Master of Science

Chapman University

Orange, CA

GPA: 4.0

Relevant Coursework

Notable Projects

Bachelor of Science

Chapman University

Orange, CA

GPA: 3.89

Relevant Coursework

Notable Projects

Technical Skills

Programming Languages

Python 95%
SQL 90%
R 60%

Machine Learning & AI

PyTorch 70%
TensorFlow 70%
scikit-learn 85%
LangChain 70%

Data Science

Pandas 90%
NumPy 70%
ggplot 85%
Tableau 55%
Bayesian Analysis 80%

Development Tools

Git 90%
Docker 85%
Flask 85%
System Design 80%
API Integration 85%
MySQL 85%

Cloud & Infrastructure

Digital Ocean 85%