I’m Kanav Jeet Singh, an AI/ML engineer specializing in reinforcement learning, generative AI, and IoT-integrated intelligent systems. I thrive at the intersection of research and product, building AI-driven solutions that are scalable and impactful. I’ve led projects like DRISTI and DoubleDQFormer, and I enjoy turning complex ideas into practical, human-centric systems. I also contribute to community initiatives as part of the Hardly Human AI Club and SriJan x IEEE, and I expanded my horizons through a study abroad program at Birkbeck, University of London.
My experience spans AI research, RL system design, and frontend visualization, with hands-on work on robotics, smart warehouses, and disaster response simulations. Through collaborations across academia and industry, I’ve developed leadership, cross-functional communication, and a passion for ethical, scalable AI that benefits people and society. I’m continually exploring new technologies to create resilient, real-time intelligent systems.
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