About DecarbDesk
DecarbDesk combines production AI engineering, operational modelling, control design, and client handover. We work from the workflow outward rather than from a model demo inward.
Teams often copy the same information between tools, reconstruct decisions from email threads, and depend on one person who knows how the process really works.
Adding an AI model does not resolve that operating problem. The workflow still needs authorized data, explicit rules, review authority, evaluation, records, and an owner after launch.
DecarbDesk designs those elements as one system and transfers the implementation to the client.
Hammad builds systems that turn fragmented operational data into decisions and repeatable workflows.
His work includes agent-based energy simulations, investment screening tools, and production APIs that replaced manual analysis with traceable calculations. He focuses on operational modelling, risk, and the point where a system must return a decision to a person.
Eugenio leads AI strategy and engineering for organizations moving from experiments to operating systems.
He has worked across fintech, payments, generative AI, retrieval systems, machine learning, and data engineering. He founded an AI Engineering team at dLocal, helped establish a Generative AI Center of Excellence for banking and insurance clients at Capgemini, and holds an MSc in Computer Science focused on Artificial Intelligence.
Last updated: February 2026.
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