Vasudev Lal
Director, Applied Science, Multimodal GenAI, Oracle OCI
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolVasudev Lal is a director-level applied scientist leading Multimodal GenAI efforts for Oracle Cloud Infrastructure with a strong foundation in cognitive AI research. He brings over a decade of experience bridging deep learning, knowledge representation and symbolic reasoning from roles at Intel Labs where he led research teams focused on explainable, efficient multimodal systems. His background spans hands-on data science and engineering work at Intel and a PhD in Electrical Engineering from the University of Michigan, enabling him to translate research advances into production-grade cloud AI services. Based in Portland, he combines technical leadership with practical product delivery, steering teams through both managerial and technical challenges. A lesser-known aspect of his profile is the cross-disciplinary shift from hardware-oriented engineering roles to leading cutting-edge AI research, reflecting rare breadth across systems and algorithms.
5 years of coding experience
17 years of employment as a software developer
B E Electrical Engineering, B E Electrical Engineering at Netaji Subhas Institute of TechnologyPhD Electrical Engineering, PhD Electrical Engineering at University of Michigan
Github Skills (13)
dynet10
language-processing10
natural-language-understanding9
pytorch9
nlp9
deep-learning9
transformers9
quantization9
nlu9
machine-learning8
bert8
natural-language-processing8
tensorflow8
Programming languages (1)
Github contributions (1)
IntelLabs/nlp-architect
Jul 2020 - Jan 2021
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Contributions:1 review, 9 commits, 1 PR in 5 months
nlunatural-language-understandingbertlanguage-processingstate-of-the-art
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