I’m a hands-on machine learning engineer who loves turning messy data into actionable insights. As a team lead at iCog Labs and SingularityNET, I enjoy shaping research directions and building scalable AI systems that perform in real-world settings. My work focuses on efficient model architectures, robust evaluation, and pragmatic tooling to reduce energy consumption and training time while preserving model quality and interpretability.
Earlier in my career, I built a full-stack web tool and gained experience across the software stack, from Laravel-based backends to admin dashboards. I thrive in collaborative environments, bridging research and production applications, and I’m passionate about delivering impact through data-driven solutions.
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