Ranjit Raut

Hi. I’m Ranjit Raut, a scholar and practitioner of artificial intelligence. I endeavor at the intersection of computer science, mathematics, cognitive science, physics, and engineering, with a focus on researching and building artificial intelligence systems that address real-world problems and deliver solutions.

On the community side, I worked as Principal Coordinator for AI CONVERGENCE at KUAIC, one of Nepal’s largest student-led AI initiatives, served as a Microsoft Learn Student Ambassador, and maintained an active open-source presence across DigitalOcean Hacktoberfest, GoogleCloudReady, Google Crowdsource, Mozilla, Monkeytype, GeeksforGeeks, GitHub, and Google Summer of Code. On the research side, I worked as a Research Assistant at the AIHPC Lab, a student-led research laboratory for AI & HPC, and previously as a Research Fellow at the AISSR Lab. On the production side, I’ve also led and contributed to teams at HomoDeTerra, Quotesnaut, SurfTheKnowledge, and Moxcie.

Currently, I research, explore, experiment, and innovate across machine learning, neural networks, and deep learning; computer vision and natural language processing; small and large unimodal, multimodal, and reasoning models; generative ai, ai agents, retrieval-augmented generation, and agentic ai; deep reinforcement learning and geometric deep learning; spatial ai, deep generative models, and anomaly detection; cloud computing, parallel processing, and distributed computing; speech and video processing, recognition, and synthesis; embodied ai, physical ai, and robot learning; foundational models, state-space models, and world models; objective-driven ai and energy-based model as well as automl, explainable ai, quantum ai, and quantum machine learning.