Sai Srujana Buddi is a seasoned Machine Learning Research Engineer with over a decade of experience designing and deploying large-scale, high-impact AI systems across speech recognition, virtual assistants, multimodal AI, and generative AI. With a passion for advancing equitable, ethical, and responsible AI, Sai combines deep technical expertise with a strong focus on innovation, safety, and user trust.
Throughout her career, Sai has made impactful contributions at leading technology companies:
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Amazon – Played a pivotal role in building enterprise-grade Automatic Speech Recognition (ASR) systems for AWS Speech Technologies and Alexa, enhancing real-world performance and scalability.
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Apple – Developed cutting-edge multimodal experiences for Siri, collaborated with the Machine Learning Research (MLR) team on multimodal generative models, and now leads initiatives within the Safe and Responsible AI organization. Her work focuses on architecting inherently safe foundation models and designing comprehensive guardrails for generative AI systems powering Apple Intelligence.
Sai’s expertise lies in bridging breakthrough research and responsible deployment. She is committed to ensuring that state-of-the-art AI systems are safe, private, ethical, and trustworthy, driving meaningful user experiences while upholding the highest standards of AI development.
Her professional journey reflects a dedication to shaping the future of speech technologies, multimodal AI, and generative AI, with an emphasis on responsible innovation and global impact.
Key Areas of Expertise: