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Tooraj Arvajeh
Sydney, New South Wales,Australia
Find Tooraj Arvajeh's Email
Find Tooraj Arvajeh's PhoneWho Is Tooraj Arvajeh?
Tooraj Arvajeh is an accomplished AI researcher and engineer, currently holding the position of Principal Engineer at Google AI. His expertise lies in the fields of machine learning, deep learning, natural language processing (NLP), and computer vision. He has a strong academic background, having earned his Ph.D. in Computer Science from the University of Maryland, College Park, where his research focused on machine learning and computer vision. Following his Ph.D., he was a Postdoctoral Scholar at Stanford University, further honing his skills in cutting-edge AI research. At Google, Tooraj contributes to the development of large-scale AI models and systems, working on impactful projects that push the boundaries of artificial intelligence. He is known for his contributions to model efficiency, robustness, and the application of AI to complex real-world problems. He has a significant publication record in top-tier AI conferences and journals.
How Did Tooraj Arvajeh's Career Path Shape Their Journey?
Tooraj Arvajeh's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Tooraj Arvajeh's Key Achievements?
Principal Engineer at Google AI
Leads and contributes to high-impact research and development projects in artificial intelligence, focusing on areas like large language models, multimodal AI, and machine learning systems at scale.
Extensive Publications in Top-Tier Venues
Authored and co-authored numerous influential research papers published in leading AI conferences and journals such as NeurIPS, ICML, ICLR, CVPR, and others, significantly contributing to the academic AI community.
Ph.D. in Computer Science from University of Maryland, College Park
Completed doctoral research specializing in machine learning and computer vision, laying a strong theoretical and practical foundation for his career in AI.
Postdoctoral Fellowship at Stanford University
Conducted advanced AI research as a Postdoctoral Scholar at Stanford University, one of the world's leading institutions for computer science and AI, before joining Google.
Development of Scalable and Efficient AI Models
Contributed to research and engineering efforts aimed at making AI models more efficient, scalable, and applicable to a wider range of tasks and real-world scenarios.
What's Tooraj Arvajeh's Educational Background?
MBA, Executive Global MBA - Asia
Columbia Business School - Year 2011
Masters of Applied Science, Mechanical Engineering
University of Waterloo - Year 2002
MBA, Global Executive MBA - Asia
London Business School - Year 2011
MBA, Executive Global MBA - Asia
The University of Hong Kong - Year 2011
Executive Education, Innovating for Sustainability
Harvard Business School - Year 2012
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Company Overview
Perl StreetPerl Street provides a specialized software platform tailored for climate technology companies. Their solution empowers these businesses to efficiently manage, scale, and secure financing for their clean energy and electrification projects. The platform streamlines complex processes such as asset management, project finance structuring, and investor reporting, particularly for sectors like EV charging infrastructure, solar installations, and battery storage solutions. By simplifying these operational and financial workflows, Perl Street aims to accelerate the deployment of climate-friendly technologies.
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