• Implementation of a customized OMERO-based scientific data management infrastructure, fully Dockerized and security-hardened. 70k+ lines of code, 130k+ lines of testing. REMBI-aligned data import. • Several custom Python/Django plugins for drag&drop image import, AI-assisted metadata harvesting, and sysadmins.

• Developed and tested selective solar absorbing metasurfaces, as an SNSF BRIDGE Proof of Concept fellow, having received a grant of CHF 180k. • Spearheaded the development of a quartz microcrystal-based ultrasensitive hydrogen sensor, from its concept to a fully functional pilot-scale prototype. • Designed and tested multiple vacuum chambers and data acquisition systems to enable sensing measurements in rapidly changing pressures and gas compositions. • Used Python and Matlab for signal analysis, simulation outputs, and LabVIEW for measurement workflows. • Specified, installed, and helped commission a sputter deposition system, designed for up to 4-target simultaneous co-sputtering.

• Developed superhydrophobic transparent photothermal metasurfaces for antifogging and water repellency applications. Investigated how surface morphology, micro/nano-roughness, and low surface energy chemistry affect the performance metrics and durability. • Modelling and data analysis for selective solar harvesting semi-transparent coatings that enhance the heating efficiency of plasmonic metasurfaces for commercial applications.