Victor Dogaru is a seasoned software engineer with 25+ years of experience designing high-performance, low-latency systems and inference architectures for text, image, and multi-modal AI models. Based in the San Francisco Bay Area, he currently builds large-scale AI serving platforms at Meta, including MultiRay and features for Facebook’s Twine cluster manager. His background spans deep expertise in streaming analytics, event-time processing, and distributed snapshotting from a long tenure at IBM Streams, paired with systems-level C++, Python, and Java development. Victor has repeatedly delivered production-grade solutions for high-availability, real-time data pipelines and platform services that push performance boundaries. Notably, his career bridges geospatial, time-series, and content-understanding domains, reflecting a knack for applying low-level optimization to complex, high-scale problems. He combines principled system design with hands-on implementation, making him adept at taking research-grade models and infrastructure into dependable production.
10 years of coding experience
23 years of employment as a software developer
Mastère Spécialisé, Image Processing and Digital TV, Mastère Spécialisé, Image Processing and Digital TV at Telecom ParisTech
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