About Saleh

I’m a Data Scientist with 10+ years of experience across machine learning, causal inference, optimization, and agentic AI systems. My work focuses on turning complex data into practical, decision-ready tools, including predictive machine learning models, optimization frameworks, and production-grade AI systems such as RAG and multi-agent workflows. I bring a multidisciplinary background in engineering, finance, and economics, which helps me connect technical depth with business and policy decisions.

Over the years, I have worked on problems spanning environmental systems, land use, macroeconomic modeling, and AI-enabled decision support. I’m especially interested in building both ML and AI systems that are useful, explainable, and grounded in real-world impact. This site brings together my research, applied projects, and ongoing work at the intersection of data science, economics, machine learning, and intelligent systems.

When I’m not crunching data or researching to save the world, I play badminton, coach soccer, manage an athletic club, and make failed attempts at standup comedy!


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AgentNat is an AI-powered assistant designed to help researchers and practitioners work with InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs). It provides guidance on ecosystem service modeling, helps troubleshoot issues, and makes natural capital assessment more accessible to everyone.

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