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Vishal Singh
Human Frontier Collective Specialist @Scale AI
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WORK HISTORY
Human Frontier Collective Specialist @Scale AI
Develop and critically evaluate complex, domain-specific problem sets to rigorously test frontier AI models and deliver expert evaluations that refine model performance.
EDUCATION
Navyug School Sarojini Nagar
High School, Physical Sciences
University of California, Davis
Master's degree, Mechanical Engineering
University of California, Davis
Doctor of Philosophy - PhD, Mechanical and Aerospace Engineering
Guru Gobind Singh Indraprastha University
Bachelor of Technology (BTech), Mechanical Engineering
ABOUT VISHAL SINGH
My research at UC Davis in Mechanical and Aerospace Engineering focuses on developing computer vision and deep learning solutions for agriculture automation and precision farming. I work on AI-driven crop monitoring and yield prediction, leveraging convolutional neural networks (CNNs), transformers, and large-scale sensor-based data acquisition systems. A key aspect of my work involves designing and implementing a mobile sensing system mounted on a tractor to collect high-resolution field data, enabling real-time fruit estimation and yield forecasting to enhance resource allocation and decision-making in agriculture.Before my PhD, my background was in Computational Fluid Dynamics (CFD), where I used MATLAB and OpenFOAM for numerical simulations and system modeling. During my master’s, I expanded my expertise by developing computational tools for combustion analysis through an iPhone application. Over time, my focus shifted towards machine learning and AI, leading to my current work in computer vision applications.I strongly believe that technology should be both accessible and impactful. My goal is to contribute to scalable AI solutions that revolutionize agriculture, optimize food production, and drive automation. While my current research focuses on AI applications in agriculture, my broader expertise spans computer vision, deep learning, industrial automation, robotics, and autonomous systems.I am open to collaborations, research discussions, and opportunities where I can apply my expertise in computer vision, AI, and control engineering to tackle complex real-world challenges.
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