About me
Stuti Sinha is a researcher and developer focused on the intersection of model efficiency and AI safety. With a background in Python, Java, and C++, she specializes in the PyTorch ecosystem, specifically optimizing Long Context Reasoning and architecture for Small Language Models (SLMs). Her work centers on building equitable systems, ranging from mitigating social fairness issues in Federated Learning to studying multilingual negotiation in LLMs: research accepted at A* conference workshops. Stuti is driven by a commitment to identifying and addressing model vulnerabilities to improve the reliability and inclusivity of large-scale AI.
