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Top6Meta is a Python-based computing software framework for the modeling and design of architected materials and metastructures. It provides unified generation of strut lattices, TPMS, and stochastic spinodal topologies, including hybrid, functionally graded, and interpenetrating phase composite designs. The software supports metamaterials as standalone architectures as well as architected beams, plates, and sandwich structures. Top6Meta is designed as a modular, extensible research tool bridging mesoscale topology generation with engineering-scale applications.
I contributed as a backend developer to Top6Meta, a Python-based computational framework designed for modeling and designing advanced metamaterials and architected structures. My role focused on building and optimizing the core backend architecture that enables efficient generation and handling of complex geometries, including strut lattices, TPMS, and stochastic spinodal topologies. I worked on ensuring scalability, modularity, and seamless integration of computational workflows, supporting features such as functionally graded materials and hybrid composite designs. This experience strengthened my ability to develop high-performance scientific software that bridges advanced mathematical modeling with real-world engineering applications.
"Be kind for everyone you meet is fighting a hard battle"– MacLaren
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