Recently published Lightning.AI studio

I'm Gyanateet (Yes, IK, the name is very unusual. Apparently I'm the only person with the name in the world so far lol)

I'm a passionate and driven AI Researcher and a graduate student in Computer Science & AI at the University of Leeds. My goal is to leverage my expertise in deep learning, computer vision, and quantum computing to contribute to cutting-edge research and develop innovative solutions that benefit humanity.

Quantum Computing Research:

• 🏆 Winner - Bradford Quantum Hackathon 2025: Developed a quantum-classical hybrid system for genomic sequence prediction
• 🥈 Finalist - City of London Mayor Quantum Hackathon with IBM
• 🎯 Active participant in Yale Quantum Hackathon, Aqora, and QINNOVISION competitions
• 🔧 Building hybrid quantum-classical machine learning models using Qiskit, PennyLane, and other quantum computing libraries
• 🌐 Exploring quantum error correction and quantum internet protocols
• 💡 My focus is on exploring the potential of quantum computing to solve complex problems in science and AI

Computer Vision & 3D Reconstruction:

• 🎨 Generative AI and 3D Vision: Exploring and developing novel ideas in Neural Radiance Fields (NeRFs), 3D Gaussian Splatting, and other 3D reconstruction techniques
• 🔍 Particularly interested in leveraging Vision Transformers, VJEPA-2, DINOv2, and Diffusion Models for these tasks
• 🧠 Self-supervised learning approaches for foundational vision models

Physics-Informed Deep Learning:

• ⚛️ Applying deep learning techniques to solve problems in physics and engineering
• 🔬 Working with differentiable physics simulators and learning PINNs (Physics-Informed Neural Networks)

Vision-Language Models:

• 🗣️ Researching and developing vision-based language models, including Vision Transformers and Vision Transformer Diffusion models
• 🌉 Bridging the gap between visual understanding and natural language processing

• Advanced techniques for creating and optimizing my projects and exploring new and efficient transformer architectures
• Parallel programming with CUDA C++ and JAX to write highly efficient kernels for GPUs and TPUs
• Quantum circuit optimization, transpilation, and error mitigation techniques
• 4D reconstruction and novel view synthesis methodologies
• Latest developments in quantum natural language processing (QNLP)

• Research projects in computer vision and computer graphics, especially those involving Vision Transformers, NeRFs, and other generative models
• Quantum computing projects exploring real-world applications in AI and science
• Open-source projects that are pushing the boundaries of AI and its applications in science and technology
• Hackathons and research challenges in quantum computing and machine learning

• 📝 Pursuing PhD applications for Quantum Computing and AI programs
• 🎯 Applied to: Edinburgh Quantum Informatics CDT, ETH Zurich Quantum CDT, and other top programs
• 🔬 Contributing to research in quantum-classical hybrid algorithms
• 💻 Building and deploying ML models on HPC clusters using SLURM/AIRE

• Gaining a deeper understanding of parallel programming for TPUs and optimizing kernels with CUDA C++ or CUDA in general
• Advanced quantum error mitigation strategies for near-term quantum devices
• Scaling 3D reconstruction models for large-scale scenes

Anything related to AI, deep learning, computer vision, quantum computing, or technology in general! I'm always happy to chat and share my knowledge.

• Quantum circuit design and VQE implementations
• Vision Transformers and self-supervised learning
• 3D Gaussian Splatting and NeRF architectures
• JAX, PyTorch, and efficient GPU/TPU programming

😄 I also love...Going out in the sun for a run, touching grass and creating calmness in chaos. ⚡ Fun fact: I am always sparked and motivated!!