Principal Software Engineer & AWS Solutions Architect at Remote Work
Cyprus
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Summary
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Senior
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Top School
Mihai-valentin Curelea is a Principal Software Engineer and AWS Solutions Architect based in Cyprus with over a decade building scalable cloud and production systems, including a tech lead role in Production Engineering at Meta and SRE work at Datadog. He combines deep SRE and cloud expertise with full-stack development skills in Python, Node and JavaScript, having architected and operated large-scale services and developer tooling. As an active open-source maintainer, he contributed multi-language stemmers and build tooling to the lunr-languages project, demonstrating attention to internationalization and build/system integration details. His background spans enterprise and product engineering at Adobe and 1&1, plus a machine learning specialization from Stanford, which informs pragmatic data-driven operational decisions. Known for bridging hands-on coding with architecture and reliability at scale, he brings a practical mix of production discipline and developer ergonomics to distributed systems.
12 years of coding experience
13 years of employment as a software developer
POLITEHNICA București National University for Science and Technology
Machine Learning, Machine Learning at Stanford University
A collection of languages stemmers and stopwords for Lunr Javascript library
Role in this project:
Full-stack Developer
Contributions:16 releases, 5 reviews, 85 commits in 8 years 8 months
Contributions summary:Mihai-valentin contributed to the `lunr-languages` repository by adding support for AMD/CommonJS and build support. They added build files to the project to minify and generate stemmer and stopword files. They worked on multiple languages, including Swedish, Danish, and Norwegian. They also fixed a bug related to the sorting of stop words and updated the Lunr version.
Contributions:4 reviews, 5 PRs, 89 pushes in 10 years 4 months
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Mihai-valentin Curelea - Principal Software Engineer & AWS Solutions Architect at Remote Work