Aiden Cullo is a lead software engineer based in New York with a decade of experience building full-stack, data-driven web applications and scalable backend systems. He has a track record of delivering measurable performance improvements—from a 4x controller speedup and 25% faster queries to production deployments on AWS using Terraform and Docker. His recent work includes architecting LLM usage auditing and ML artifact versioning at JPMorgan Chase and shipping live monitoring and registration systems for water sites across Egypt at Tech To The Rescue. An active open-source contributor, he has improved maintainability of high-profile Python tooling by reducing unnecessary dependencies in pipenv. With academic roots in computer science, math, and physics and early research in ML for scientific instrumentation, he brings a disciplined, data-centric approach to solving real-world problems in immigration, environmental protection, and affordable housing.
11 years of coding experience
6 years of employment as a software developer
General Education Mathematics and Computer Science, General Education Mathematics and Computer Science at Rondout Valley High School
Bachelor of Science - BS Computer Science | Math | Physics, Bachelor of Science - BS Computer Science | Math | Physics at Binghamton University
Contributions:2 reviews, 5 PRs, 8 comments in 1 year 11 months
Contributions summary:Aiden's contributions primarily focused on refactoring the codebase by removing dependencies on the `click` library and other unnecessary modules like `secho`. They replaced `click.echo` and `click.style` calls with alternative methods. The user also added and modified news files to document code changes. These changes suggest a focus on improving the codebase's maintainability and potentially reducing dependencies.
Contributions:1 PR, 234 pushes, 27 branches in 3 years
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