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Swanand Kadhe

Senior Research Scientist at IBM Research

Swanand Kadhe is a seasoned professional with a strong background in large language models (LLMs) focusing on data processing for pre-training and fine-tuning for safety.

He has extensive experience in federated learning, distributed deep learning, and developing machine learning algorithms to preserve data privacy, ensure robustness against adversarial and trojan attacks, and provide resilience against straggling machines and failures.

With over 10 years of research and development experience in varied interdisciplinary areas such as distributed storage and computing systems, blockchains, information theory, signal processing, and digital communications, Swanand has made significant contributions to the field.

He has an impressive publication record with 50+ research publications in prestigious AI/ML conferences, journals, and workshops, along with holding multiple US patents.

Swanand Kadhe holds a Doctor of Philosophy (PhD) in Electrical, Electronics, and Communications Engineering from Texas A&M University, a Master of Technology (MTech) in Communications, Signal Processing, and Networking from Indian Institute of Technology, Kanpur, and a Bachelor of Engineering (BE) in Electrical, Electronics, and Communications Engineering from Savitribai Phule Pune University.

His professional journey includes roles such as Senior Research Scientist, Research Staff Member at IBM, Postdoctoral Researcher at University of California, Berkeley, Visiting Researcher at Duke University and Nokia Bell Labs, Summer Intern at The Chinese University of Hong Kong, Research Assistant at Texas A&M University, and Researcher at Innovation labs, TCS.

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Location

San Francisco Bay Area