At the Centre for Interdisciplinary Artificial Intelligence (CAI), FLAME University, I build and research AI-powered systems in areas including computer vision, multimodal AI, and spatiotemporal forecasting. I contribute to research prototypes, application backends, deployment, and technical infrastructure.
For Global Particulate Matter Forecasting, I developed CAMS-based deep learning models for PM forecasting using regional models and spatial tiling. My research on this work has appeared in publications and conference workshops listed on my resume.
I also developed Comic2AudioVisual, a comic-to-audiovisual storytelling pipeline spanning comic understanding, dialogue extraction, and audiovisual generation. It was part of a DST, Government of India-funded project through iHub Drishti, IIT Jodhpur, and the research was published at ICDAR WML 2025.
For Jyesthanubandh, I built and deployed backend and database systems for a Pimpri Chinchwad Police senior-citizen support service, integrating external services; I continue to maintain and upgrade it. My work also includes a smartphone-based child height-estimation pipeline and a legislative research prototype using RAG and MCP.
