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Scientific Software Architect & R&D Lead
Grounded in the delivery of tangible scientific and industrial software solutions. This background encompasses the full spectrum of technical product delivery: from the Software Engineering required to build high-performance tools, to the Product Management needed to define their scope, and the Project Management discipline essential for their execution.
Experience is applied directly to complex domains, specifically Neutron Scattering/Spectroscopy and Electronic Design Automation (EDA), demonstrating a capacity to lead diverse teams through the challenges of moving experimental technologies into production environments.
Bridges the gap between raw experimental data and actionable scientific insight, specializing in high-precision reduction algorithms for complex techniques—including FTIR, Neutron Scattering, and Raman Spectroscopy. Designs custom software to handle noise, artifacts, and high-dimensional datasets. Leverages deep physics knowledge to implement advanced mathematical modeling using the Python scientific stack (NumPy, SciPy) and C++.
Development of robust EDA infrastructure designed for comprehensive IP simulation. Unifies IA, CA, and RTL methodologies into a cohesive full-stack architecture. Leverages Kubernetes to containerize and scale System C-based verification pipelines, ensuring efficient resource allocation for massive simulation workloads.
R&D / Product Management
R&D / Product Management
Leads technical teams and executes complex EU-funded projects (TRISTAN, RIGOLETTO). Responsible for end-to-end software product delivery, bridging the gap between concept and consumer. Key accountabilities include assessing technical feasibility, managing development pipelines, overseeing deployment strategies, and ensuring long-term stability through dedicated customer support.
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