John McAuliffe

Full-Stack Engineer III

I build backend systems and data pipelines that power research and discovery. Currently at NIH/NCATS, enabling biomedical data science through scalable infrastructure and high-performance computing environments.

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What Drives Me

Since graduating from William & Mary and joining Axle, I've been working at the intersection of data and software—building scientific workflows, supporting data science tools, and managing full-stack applications. My foundation in applied math has grown into hands-on experience helping make discovery possible at the NIH.

I've designed systems that unify compute environments across AWS and HPC clusters, supported JupyterHub ecosystems where researchers run isolated, hardware-backed environments, and integrated LLMs to enhance productivity for low-code users. On the application side, I build TypeScript services with PostgreSQL and MongoDB, containerize with Docker, and deploy through Kubernetes.

I'm drawn to problems that require thinking holistically—about performance, data lifecycle, and scalability. I'm deepening my understanding of big data and cloud tools like Databricks, Athena, Airflow, and Redshift. I'm eager to take on roles where I can both contribute meaningfully and continue learning.

My Background

Education

Graduated May 2023

BS in Computational & Applied Mathematics & Statistics

Concentration in Biology

Relevant Coursework: Mathematical Modeling, Advanced Calculus and Algebra, Numerical Analysis

Technical Skills

Languages

  • Python (5 years)
  • TypeScript (3 years)
  • JavaScript

Frameworks & Databases

  • Angular, NodeJS
  • PostgreSQL, MongoDB
  • AWS RDS

Infrastructure & Tools

  • Kubernetes, Docker
  • Airflow, GitActions
  • Hashicorp Vault, Jupyter

Volunteering

Volunteering

  • Special Olympics DC — Unified Partner
  • Special Olympics VA — Volunteer