Syed Kareem is a Product Senior Data Scientist at Deloitte in Amsterdam with a decade of experience bridging AI research and commercial delivery, including a PhD in Robotics and Autonomous Systems from the University of Genoa. He designs and ships GenAI and multi-agent solutions that translate business pain points into agentic automation, often combining LangGraph, LangChain, web-browser agents and Streamlit for rapid POCs. His background spans MLOps, demand forecasting, pricing optimization and computer vision, and he routinely moves models into production using Kubernetes, Argo, Databricks and CI/CD pipelines. Syed’s research-led approach led to a deployed smart-home activity-recognition framework (Arianna+) and an OWL-to-OOP API adopted by a university spin-off, showing his knack for turning academic innovations into product value. Notably comfortable explaining technical concepts to stakeholders, he also contributes to reproducible tooling and teaches robotics software practices.
9 years of coding experience
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Ramaiah Institute Of Technology
Master's degree, Second year of EMARO+ (European Master on Advanced Robotics), Master's degree, Second year of EMARO+ (European Master on Advanced Robotics) at University of Genoa
Master's degree, First year of EMARO+ (European Master on Advanced Robotics), Master's degree, First year of EMARO+ (European Master on Advanced Robotics) at Ecole centrale de Nantes
Contributions:25 commits, 24 pushes, 1 branch in 1 year 1 month
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