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Sudhanshu Agrawal

CS and Math @ UCLA

Sudhanshu Agrawal is a prominent figure in the field of machine learning and artificial intelligence. He currently serves as a Machine Learning Engineer at Qualcomm AI Research, where he focuses on deploying generative AI models on edge devices.12 Sudhanshu graduated from the University of California, Los Angeles (UCLA) in 2023, earning a double major in Computer Science and Mathematics, graduating magna cum laude.13

Education and Research

During his time at UCLA, Sudhanshu was actively involved in research, working with both the Mathematics and Computer Science departments. His research included applying machine learning techniques to solve complex problems such as mean field games and generative modeling for optimization challenges. He contributed to significant projects that have been recognized in academic circles, including a paper accepted at NeurIPS 2023.12

ACM Involvement

Sudhanshu held the position of an officer at the Association for Computing Machinery (ACM) AI chapter at UCLA, where he was instrumental in organizing workshops on machine learning and deep learning.1 His leadership in this role reflects his commitment to fostering a community around AI education and innovation.

Current Work

At Qualcomm, Sudhanshu is engaged in developing algorithms to enhance the efficiency of large language models and generative models, aiming to facilitate their deployment on various platforms, particularly mobile devices.12 His work is pivotal in advancing the capabilities of AI technologies in real-world applications.

Sudhanshu Agrawal's contributions to machine learning, both academically and professionally, position him as a rising expert in the field, dedicated to pushing the boundaries of what AI can achieve.

Highlights

‪Sudhanshu Agrawal‬ - ‪Google Scholar‬
CV - Home - Tung Nguyen

Related Questions

What specific projects did Sudhanshu work on at Qualcomm AI Research?
How did Sudhanshu's double major in Computer Science and Mathematics influence his career?
What are some notable achievements of Sudhanshu in the field of AI?
Can you provide more details about the workshops Sudhanshu taught on ML and deep learning at UCLA?
What challenges did Sudhanshu face while working on generative modeling for black box optimization problems?
Sudhanshu Agrawal
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Location

Los Angeles Metropolitan Area