Marc Galceran Feixas

Experienced R&D consulting team leader with 6+ years specializing in innovation funding and strategic advisory for the technology, software and energy sectors. Demonstrated track record in project management, budget forecasting, implementing internal innovative solutions, and designing client-oriented proposals that drive business growth.

I have accrued over six years of specialized experience as Team Leader in R&D Consulting at Leyton Iberia SL (2019-Present), where I have successfully directed a 20-person consulting team whilst developing comprehensive expertise in innovation funding and strategic advisory services. My professional trajectory demonstrates considerable competency in formulating optimal fiscal strategies and capitalizing on tax incentives to minimize corporate tax liability and enhance cash flow optimization. I have established myself as a recognized energy sector specialist, spearheading business development initiatives, engaging with government energy regulatory bodies, and obtaining critical accreditations for emerging energy services. My technical purview encompasses advanced technologies including Artificial Intelligence, Blockchain, Internet of Things, and Robotics, complemented by proficiency in managing extensive client portfolios exceeding 200 accounts whilst implementing strategic value-added initiatives that yield operational excellence.

I hold a Master's Degree in Industrial Engineering (2016-2018) and a Bachelor's Degree in Energy Engineering (2012-2016) from the Polytechnic University of Catalonia, maintaining a strong academic record with GPAs of 8.4/10 and 8.1/10 respectively. My specialized technical experience in the energy sector encompasses a Project Fellow position at CITCEA-UPC (2017-2018), during which I conducted advanced power system simulations pertaining to renewable energy integration, developed control software architectures for wind turbine converters utilizing Park and Clarke transformations, executed grid compliance assessments, and designed optimization algorithms for power system operation under conditions of high renewable energy penetration. I have contributed to peer-reviewed research on multi-period power management optimization for isolated hybrid microgrids, presented at the 2017 IEEE PES Innovative Smart Grid Technologies Conference, demonstrating advanced proficiency in GAMS, Python, MATLAB, and DIgSILENT simulation platforms.