Summary
Ritabrata Maiti is a Postdoctoral Researcher and PhD scholar in Computer Science based in Singapore with nine years of experience applying deep learning and reinforcement learning to resource allocation and optimization in Industrial IoT (IIoT) networks. He combines rigorous academic research at Nanyang Technological University with industry-focused problem solving through an attachment at ARTC, A*STAR, and now a postdoc role at Microsoft, translating novel algorithms into practical IIoT and cache-enabled systems. His work spans multi-agent reinforcement learning for cache refreshing and deploying LLMs within constrained IIoT environments, including hands-on fine-tuning of multimodal models. As a graduate teaching assistant he regularly mentors undergraduates and designs lab experiments, sharpening his communication and pedagogy alongside research. Early internships in predictive analytics—from solar irradiance forecasting to stock trend prediction—illustrate his ability to bridge theory and production-ready solutions. Colleagues know him for integrating mathematical rigor with pragmatic simulations to push AI that is both performant and deployable in real industrial settings.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.58, Doctor of Philosophy - PhD, Computer Science, 4.58 at Nanyang Technological University
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Delhi College of Engineering
Higher Secondary, Science, Higher Secondary, Science at Global India International School, Singapore