
About Ross Tsenov
91ÖÆÆ¬³§ Director
Ross Tsenov’s experience spans applied AI engineering, computer vision for manufacturing, edge computing, cloud data platforms, and MLOps. Over several years in both research and delivery, he’s developed a systems-thinking approach that ties AI innovation to measurable business outcomes. His work includes crafting pragmatic AI strategies, defining model selection and evaluation methods, productionizing solutions across cloud and edge, establishing CI/CD, and using LLMs where they deliver clear value.
Before joining Info-Tech, Ross held AI engineering and consulting roles at Musashi AI North America and Lemay.ai, where he helped organizations design, build, and scale production-grade AI across industries. His portfolio features cloud-native architectures, resilient data and ML pipelines, and practical governance practices. Ross holds a master’s degree in applied computer science.