Sameer Chaturvedi is a Lead Software Engineer with eight years of experience building production-grade ML and distributed systems across Amazon, Microsoft, MIT, and startups. He designs scalable pipelines and anomaly-detection models—most recently architecting DisruptionPy to standardize multi-tokamak fusion data and enable ML-ready datasets via pluggable backends. At Microsoft he led petabyte-scale security detection work, accelerating distributed detection development and building GPT-assisted investigation tools; at BU and AI.Reverie he shipped real-time computer vision systems for sports analytics and mobile object detection. Comfortable across Python, Scala, Go, cloud services, and ML stack components, he blends deep engineering discipline with applied research instincts. Based in New York, he brings a rare combination of astrophysics curiosity and hands-on product engineering that informs his work on high-throughput scientific and security systems.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Boston University
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