Contributed to the Strata repository by delivering a Semantic Model Robustness Enhancement that focused on class-level field extraction and improved handling of unresolved fields. The work addressed runtime panics by implementing a fallback mechanism for unknown fields and prioritized annotated class fields over init-only fields to strengthen field deduplication. Using Lean and Python, the developer expanded test coverage with targeted scripts and ensured benchmark stability, confirming no regressions against the mainline. The approach emphasized reliability for downstream analytics and included collaborative efforts to improve the overall stability of the semantic model, with a strong focus on testing and robust implementation practices.