Kevin Yeramian is a software engineer based in Paris with a decade of experience building production-grade systems, currently contributing to Datadog's observability platform. He combines a strong academic background in applied mathematics, data science and deep learning (Telecom ParisTech, KTH) with hands-on experience in full-stack and ML roles, from developing image-recognition models to shipping end-to-end web testing and monitoring tools. At Madumbo he helped commercialize an autonomous web-roaming test solution before joining Datadog, and earlier freelancing work saw him fine-tune CNNs and deploy detection pipelines using PyTorch and OpenCV. He brings both research-informed machine learning skills and practical backend/frontend engineering, making him comfortable bridging models to scalable, observable production services. An analytical problem-solver, he tends to focus on reliability and automation that reduce manual debugging and accelerate incident detection.
9 years of coding experience
1 year of employment as a software developer
KTH Royal Institute of Technology
Bachelor of Science (BS), Applied Mathematics and Computer Science, Bachelor of Science (BS), Applied Mathematics and Computer Science at Université Pierre et Marie Curie (Paris VI)
Master of Science - MS, Data Science and Operations Research, Master of Science - MS, Data Science and Operations Research at Telecom ParisTech
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