Work History
Education
Skills
COURSEWORK
Timeline
Generic

Ryan Mulcahy

Pittsburgh,PA

Work History

Software Engineering Intern

Connexwork
08.2024 - 01.2025
  • Developed the Android version of an employee engagement app, delivering a consistent digital experience aligned with organizational goals.
  • Diagnosed and resolved user-reported issues, enhancing application stability, usability, and customer satisfaction.
  • Worked with founders to test and refine application features, supporting the development process from design to deployment.
  • Applied version control best practices (Git) to manage code changes efficiently and enable seamless collaboration with the other engineers.

Software Contractor

Self Employed
08.2022 - 08.2023
  • Implemented a GPT-powered AI solution using RAG (retrieval-augmented generation) and advanced prompting techniques to answer educator questions on dyscalculia with cited sources.
  • Coordinated with content and product contributors to verify information, ensure compliance, and align the project with business goals.
  • Delivered a working prototype that demonstrated the practical value of AI for an EdTech startup.

Data Analytics Intern

Base Sports Group
06.2022 - 08.2022
  • Applied data science and ML techniques to analyze youth sports tournament and sponsorship data using R
  • Collaborated to produce marketing reports that presented insights to guide sponsorship and engagement strategies.

Operations Associate

Omada Health, Inc.
06.2020 - 01.2021
  • Defined Salesforce database requirements in collaboration with sales and marketing teams.
  • Populated and maintained the database using Seamless.AI.

Education

Bachelor of Science - Statistics & Machine Learning

Carnegie Mellon University
Pittsburgh, PA
08.2025

Skills

  • Machine Learning: Logistic Regression, k-NN, Decision Trees, Feature Engineering, Model Evaluation
  • Data Analysis: Python (NumPy, Pandas, scikit-learn), R (ggplot2, dplyr, R Markdown), Regression, Hypothesis Testing, Bootstrapping
  • Software Development: ReactJS, Python scripting, Algorithm Design, Debugging
  • Languages: Python, R, SQL, C/C, Java, JavaScript, HTML/CSS

COURSEWORK

  • Intro to Machine Learning (10-301): Decision trees, neural networks, unsupervised learning, reinforcement learning
  • Machine Learning in Practice (11-344): Feature engineering, model selection, error analysis for predicting term deposits

Timeline

Software Engineering Intern

Connexwork
08.2024 - 01.2025

Software Contractor

Self Employed
08.2022 - 08.2023

Data Analytics Intern

Base Sports Group
06.2022 - 08.2022

Operations Associate

Omada Health, Inc.
06.2020 - 01.2021

Bachelor of Science - Statistics & Machine Learning

Carnegie Mellon University
Ryan Mulcahy