Sahil Nishad, holds a Master’s in Computer Science from BITS Pilani. He has contributed to AI research at DRDO’s Centre for Artificial Intelligence and Robotics, where he developed deep learning-driven control systems for augmentative exoskeletons. His work focused on AI- based activity recognition and payload estimation to enhance precision, efficiency, and adaptability in exoskeleton control.

With expertise in time-series analysis and deep learning, Sahil specializes in AI-driven decision-making for real- world applications. He is also passionate about AI alignment, working on techniques to improve transparency, safety, and trust in AI systems, ensuring their seamless integration into high-stakes environments.