Applied Scientist, AWS Fraud Prevention at Amazon Web Services (AWS)
New York, New York, United States
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Summary
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Rockstar
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Top School
Andrew Massimino is an applied scientist with 11 years of experience building ML-driven fraud detection systems, currently fighting abuse and crypto-mining on AWS's cloud platform. He blends a PhD-level background in statistical signal processing and optimization with hands-on MLOps engineering to deploy both offline and real-time models at scale. Prior roles at Goldman Sachs and Georgia Tech reflect deep expertise in consumer-finance fraud modeling and theory-driven algorithms for active information acquisition and pairwise learning. He is also an active open-source contributor to prominent editor projects like Neovim and VimTeX, demonstrating low-level C/Vimscript proficiency and a knack for performance-sensitive tooling. Based in New York, Andrew pairs rigorous mathematical thinking with pragmatic software craftsmanship to turn complex probabilistic models into reliable production systems. A less obvious strength is his track record of improving developer-facing tools, showing he cares about both model quality and the engineer experience that ships them.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical & Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical & Computer Engineering at Georgia Institute of Technology
Bachelor of Engineering, Electrical Engineering, Bachelor of Engineering, Electrical Engineering at The Cooper Union for the Advancement of Science and Art
vim match-up: even better % :facepunch: navigate and highlight matching words :facepunch: modern matchit and matchparen. Supports both vim and neovim + tree-sitter.
Role in this project:
Back-end Developer & Plugin Developer
Contributions:9 releases, 5 reviews, 641 commits in 5 years 3 months
Contributions summary:Andrew has focused on enhancing the `vim-matchup` plugin, which is designed to improve Vim's matching capabilities for code blocks. Their contributions included implementing performance tracking functionalities and introducing augmented matching features within the core plugin files. Additionally, the user has worked on resolving jump-related issues and adding support for the new `Transmute` module.
VimTeX: A modern Vim and neovim filetype plugin for LaTeX files.
Role in this project:
Back-end Developer
Contributions:18 commits, 12 PRs, 147 comments in 9 months
Contributions summary:Andrew primarily contributed to improving the package detection and parsing mechanisms within the VimTeX plugin. They implemented improvements in preamble parsing, including handling lists of packages and parsing information from .fls files generated by pdflatex. The user also added functionality such as adding the documentclass and fls filename to the vimtex info, and introduced a count feature for delimiter modifier toggling. Further improvements included refining indent alignment for ampersands and allowing completion of environment names.
vimvim-pluginvimtexfiletypefiletype-plugin
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Andrew Massimino - Applied Scientist, AWS Fraud Prevention at Amazon Web Services (AWS)