Constantine Karos is a Hydroinformatics Engineer with eight years of experience building hydraulic and hydrologic models, real-time decision support systems, and data-driven analytics for water utilities. He blends physics-based modeling (SWMM, HSPF, HEC-HMS) with machine learning and optimization techniques to create interpretable, probability-weighted forecasts and operational recommendations. Constantine has deployed containerized, scalable ML/hydraulic frameworks on AWS (including ARM migrations), implemented CI/CD and Terraform-driven infrastructure, and improved model-driven operations that reduced overflow events and compute costs. He contributes to open-source tooling—improving PySWMM’s documentation and onboarding—to make hydraulic modeling more accessible to practitioners. Based in West Hartford, CT, he pairs a Master’s in Environmental Engineering with practical database, web app, and visualization skills to turn complex systems into intuitive client-facing tools. Known for decades-long curiosity and a habit of disassembling toys, he applies that same tinkering instinct to peel apart modeling code and craft elegant, usable solutions.
8 years of coding experience
10 years of employment as a software developer
Master’s Degree, Environmental Engineering, Master’s Degree, Environmental Engineering at Northeastern University
Bachelor of Arts (B.A.), Chemistry, Bachelor of Arts (B.A.), Chemistry at College of the Holy Cross
Contributions:2 releases, 22 reviews, 21 commits in 17 days
Contributions summary:Constantine's commits primarily focused on enhancing and restructuring the documentation for the PySWMM project. They updated the documentation theme, introduced a quickstart guide, and revised the API reference to improve usability and navigation. Additionally, the user added status badges, a banner, and links to external resources, indicating a strong focus on improving the project's visibility and user experience.
Contributions:24 pushes, 1 branch in 5 years 3 months
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