Payam Kavousi
Payam Kavousi is a Senior Software Engineer at Veeam, specializing in AI/ML, threat detection, and cloud architecture. He designs and develops machine learning systems that identify and mitigate cyber threats, including ransomware and other advanced attacks. His work focuses on applying big data and streaming architectures to deliver real‑time anomaly detection and predictive insights across AWS and Azure environments.
Before joining Veeam, Payam served as a Lead Machine Learning Engineer at Logic20/20, where he built and deployed large-scale AI/ML models and MLOps pipelines to support wildfire mitigation efforts for major utility companies. His background combines deep expertise in end-to-end machine learning systems, cloud architecture (AWS and Azure), and Big Data processing, with hands-on experience delivering real-time anomaly detection, scalable inference pipelines, and production ML solutions that drive operational efficiency and public safety outcomes.
Payam’s areas of expertise include AI/ML and MLOps, threat detection and cybersecurity, big data and streaming architectures, and real‑time anomaly detection. Passionate about innovation, he continues to advance intelligent systems that strengthen Veeam’s mission to deliver secure, adaptive, and reliable data protection solutions.
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