Steven Kalt is a senior full-stack engineer with 11 years of experience building scalable web and cloud systems, currently focused on climate tech from Philadelphia. He blends hands-on frontend work—contributing improvements to popular open-source Vue components—with backend and DevOps expertise, having hardened ASGI Lambda adapters and streamlined CI/CD and Terraform workflows. At REsurety he architected terabyte-scale energy market visualizations, replaced fragile IAM policies with concise, maintainable alternatives, and reclaimed ~100 TB of storage to cut costs. Comfortable across the stack, he brings a practical security mindset (AWS SSO, MFA, private networks) and a knack for developer ergonomics—compiler toolchains, linting, type checking, and reproducible dev environments. Known on GitHub for pragmatic fixes and test-first improvements, he jokes he’s an “expert at not knowing things,” which fuels a curiosity-driven approach to solving unfamiliar problems.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Environmental Studies, Bachelor’s Degree Environmental Studies at Amherst College
High School, High School at Amherst Regional High School
Contributions:9 commits, 2 PRs, 7 comments in 4 days
Contributions summary:Steven primarily focused on fixing type checking errors and addressing compatibility issues within the `mangum` library. Their contributions involved modifying the `adapter`, `lifespan`, `websocket`, and `types` modules to resolve type-related problems and improve code stability. They made changes to accommodate ASGI applications, including adjustments to data structures and function calls, while also correcting some documentation issues. The user also added the ability to handle empty headers and reverted an unneeded change.
Contributions:9 commits, 2 PRs, 1 comment in 10 days
Contributions summary:Steven primarily contributed to improving the testing infrastructure and CI/CD pipeline of the `volttron` repository. This involved fixing build issues related to Docker images and Debian versions, configuring the CI to report errors, and implementing parallel test execution. Additionally, the user reverted a wheel package version and commented on bash logging for debugging, demonstrating an understanding of build processes and dependency management within the testing framework.
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