Kyle Stratis is an accomplished engineer and consultant specializing in AI, data, and cloud strategies, with a proven track record of driving transformational change in technology-driven organizations. He spearheaded initiatives that revolutionized R&D efficiency, identifying process bottlenecks and implementing impactful solutions that reduced model training time from a full day to just 15 minutes. His innovations include an automated model training pipeline, a rapid data preprocessing feature store, and a model definition composer that empowered cross-functional teams to deliver custom solutions swiftly. Through these efforts, Kyle enabled his team to focus on innovation, resulting in faster product development and an enhanced competitive edge.
With extensive experience in end-to-end project ownership across startups of all sizes, Kyle now channels his expertise into independent consulting. He has executed a diverse range of projects, including image segmentation performance analysis, large-scale statistical evaluations, and LLM-based activity schedule generation. His knowledge and insights on machine learning and generative AI have been featured in O’Reilly Media publications. Kyle is passionate about providing hands-on, strategic support to organizations aiming to harness the full potential of their data and AI initiatives, helping them achieve transformative growth and stay ahead of the curve.
