John McAuliffe

Full-Stack Engineer

I design data-intensive applications and AI-driven workflows at the intersection of backend engineering and scientific computing. At Axle, I spent three years turning that foundation into tools researchers at the NIH could actually use.

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What Drives Me

My technical foundation was forged at the NIH, where I spent three years building scientific workflows at the intersection of data and software. I learned to navigate and modernize legacy systems, unify compute environments across AWS and HPC clusters, and design the backend infrastructure that made large-scale genomic and clinical research possible.

That grounding in complex, high-stakes environments now carries into more creative work. At Axle I used those fundamentals to support NIH and NCATS researchers directly—building with Cursor and Claude through MCP and RAG, orchestrating multi-agent workflows, and scaffolding the infrastructure that made large-scale genomic and clinical research possible.

I'm drawn to problems that require thinking holistically—about performance, data lifecycle, and how to translate deep technical knowledge into solutions that work across industries. I thrive where hands-on engineering meets client collaboration, and I'm always eager to keep learning as the tools evolve.

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
  • LangChain, RAG
  • PostgreSQL, MongoDB
  • AWS RDS

Infrastructure & Tools

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

Volunteering

Volunteering

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