Post-doctoral Fellow at The Johns Hopkins University
Baltimore, Maryland, United States
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Summary
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Senior
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Alex Gaudio is a post-doctoral fellow and machine learning researcher with 14 years of engineering experience, currently developing novel ML approaches to analyze lung and heart sounds at Johns Hopkins' Laboratory for Computational Audio Perception. His background blends rigorous PhD work in explainable deep learning and medical image preprocessing across Carnegie Mellon and Porto with hands-on production engineering—shipping scalable data science platforms, real-time streaming systems, and cloud tooling. He has practical DevOps and back-end chops demonstrated through contributions to high-profile open-source projects like Vowpal Wabbit and the EC2 cluster toolkit StarCluster, improving build systems and cloud cluster reliability. Prior roles span founding a makerspace initiative, leading data science at Sailthru where his systems ran millions of models daily, and building patent-backed product deployments for image processing. Comfortable moving between research and production, he brings a rare combination of auditory biomedical signal expertise, distributed systems experience, and a musician’s attention to temporal detail.
14 years of coding experience
13 years of employment as a software developer
B.A. in Music and Recipient of Harry McLeod Award in Jazz, B.A. in Music and Recipient of Harry McLeod Award in Jazz at Bard College
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Faculdade de Engenharia da Universidade do Porto
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Carnegie Mellon University
StarCluster is an open source cluster-computing toolkit for Amazon's Elastic Compute Cloud (EC2).
Role in this project:
Back-end & Cloud Engineer
Contributions:13 commits in 6 months
Contributions summary:Alex primarily contributed to the `starcluster` project by enhancing and fixing various aspects of the cluster management functionality. Their work included improving the DNS prefixing options, adding validation, and refactoring the cluster and command structures. Furthermore, the user addressed bugs, particularly related to the tmux plugin and VPC integration, showing a focus on core cluster operations and cloud environment compatibility. They also implemented several improvements for the EBSimage command.
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
Role in this project:
Back-end Developer
Contributions:5 commits in 3 months
Contributions summary:Alex primarily focused on enhancing the functionality and maintainability of the `mongo-connector` project. Their contributions included adding new features, specifically an option to disable dumping the entire collection, and optimizing existing code to reduce processing time. Several bug fixes, including typo corrections and adjustments to checkpointing mechanisms, were also implemented, suggesting a focus on code quality and operational stability. Additionally, the user introduced a batch size parameter to control config file updates.
sinkstreaming-datapipelinedata-streamconnector
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Alex Gaudio - Post-doctoral Fellow at The Johns Hopkins University