Shubhashri Rane

Owned the verification efforts for an internal repair code used in the memory repair flows, ensuring correctness and robustness of logic for fault detection and redundancy allocation. Leading early-stage efforts to conceptualize an intelligent test generation and prioritization framework to optimize verification efficiency, improve test coverage and catch edge-case bugs early. Investigating data-driven methods, including historical test patterns, coverage analytics, and ML-based heuristics to guide test selection and minimize simulation overhead. Collaborated with DFT and hardware teams to validate test coverage and debug memory repair flows.

Led the end-to-end development and optimization of a code generation, modification, explanation and assertion generation tool, involving prompt engineering and meta prompting for RTL code. Developed and deployed a smart router system that performs intent classification for our GenAI products, enabling automated routing of code generation, code modification, and code explanation queries, enhancing the efficiency of design and verification workflows. Transformed the codebase using LangChain to adopt a sequential chain architecture, integrating streaming capabilities to enhance user experience, resulting in a 30% increase in processing efficiency and significantly streamlined workflows. Developed preprocessing techniques for RTL code, ensuring high-quality inputs that enhanced the accuracy and efficiency of machine learning tools. Directed the interaction and partnership between business units to identify and define key business problems, ensuring active cooperation and alignment with project goals.

Core contributor in the plugin and functional validation for Intel's in-house storage management tool which over 150 test cases for high impact features and bugs using Java. Accelerated over 40% of bug fixes by reproducing, testing, and documenting production bugs. Successfully implemented Performance Testing during production releases of the application which gave >90% insight of production scaling. Spearheaded the restructure of internal product and process documentation which enabled faster onboarding for new hires leading to accelerated solutions for customer queries.