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Nick Chiosie is a highly experienced engineering leader, currently serving as the Senior Director of Engineering for Conversational AI at NVIDIA. With over 14 years in the tech industry, he has a strong background in software development, machine learning, and artificial intelligence, particularly focusing on building and scaling innovative conversational AI systems and platforms. Nick is known for his expertise in leading high-performing engineering teams, driving complex projects from conception to deployment, and fostering a culture of innovation. His work often involves cutting-edge technologies in natural language processing (NLP), speech recognition, and large language models (LLMs) to create more intuitive and intelligent human-computer interactions.
Nick Chiosie's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As Senior Director of Engineering, spearheads the development and strategy for key conversational AI initiatives at NVIDIA, significantly contributing to the advancement of platforms like NVIDIA Riva and NeMo, enabling developers to build and deploy state-of-the-art speech and language AI applications.
Successfully built and scaled multiple engineering teams focused on AI and machine learning, fostering talent and implementing agile methodologies to accelerate product development and innovation in a rapidly evolving field.
Played a pivotal role in developing and launching enterprise-grade AI solutions, translating complex AI research into practical, impactful products that address real-world business challenges across various industries.
Contributed to significant advancements in speech recognition, natural language understanding, and generative AI, enhancing the capabilities and performance of conversational AI systems, making them more accurate, responsive, and human-like.
Columbia University in the City of New York - Year 2011
Borough of Manhattan Community College - Year 2009
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Dataminr is a leading AI platform that detects the earliest signals of high-impact events and emerging risks from publicly available data. From an end-user perspective, this means getting real-time alerts on critical incidents like natural disasters, civil unrest, or supply chain disruptions before they're widely reported, allowing for quicker, more informed responses. Businesses use it for crisis management, corporate security, and operational awareness, while public sector organizations utilize it for emergency response and public safety.
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