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    Siddha Ganju

    LLMs & RAGs Manager NVIDIA | Forbes 30 U 30 '19 | Author of the Practical Deep Learning book

    Siddha Ganju is a Solution Architect Manager at NVIDIA, specializing in sectors such as semiconductor, AgTech, and aerospace manufacturing. He is recognized for his expertise in artificial intelligence (AI) and neural networks, particularly in optimizing these technologies for various applications, including medical instruments and life sciences. His work involves designing and deploying real-time, low-power AI applications that significantly impact traditional scientific domains.

    Professional Background

    • Current Role: At NVIDIA, Siddha leads the development of neural network optimizations and has been involved in significant projects like the self-driving initiative, where he worked on scalable training of neural networks using large data centers. He has contributed to the development of AI applications for meteor detection through the Frontier Development Lab, which has led to the discovery of new meteor showers.1
    • Previous Experience: Before joining NVIDIA, he was the first engineer at Deep Vision (now Kinara), focusing on deep learning models for resource-constrained edge devices. He holds a Master's degree in Computational Data Science from Carnegie Mellon University and a Bachelor's degree in Computer Science from the National Institute of Technology, Hamirpur, India.12

    Achievements

    • Siddha has authored a book on deep learning and has been a keynote speaker at numerous international conferences. He has over 20 patents related to his work and has developed educational courses in collaboration with organizations like the United Nations Satellite Centre (UNOSAT).12
    • He is also an advocate for diversity in technology, having led mentorship programs aimed at fostering inclusivity within the tech community.1

    Personal Interests

    In addition to his professional pursuits, Siddha is passionate about mentoring students and promoting safe autonomous driving through initiatives like the Learn-to-Race challenge at Carnegie Mellon University. He actively participates in various industry-level conferences as a reviewer and advisor.1

    For more detailed insights into his career and contributions, you can view his LinkedIn profile under the username sidgan.

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