At Queensland University of Technology (QUT) Smart Transport Research Centre, I audited spatial-data analytics models for the Queensland Department of Transport and built a real-time interactive analytics dashboard. It reduced spatial anomaly monitoring latency by 35%.
At Sardar Vallabhbhai National Institute of Technology (SVNIT), I developed a Wavelet–Mamba framework for segment-level PM2.5 forecasting, achieving an R² of 0.91. I also co-authored a peer-reviewed publication based on this research.
I built an adaptive YouTube learning agent with citation-grounded retrieval, semantic search, and persistent learner memory. In a separate air-quality forecasting project, I used a spatiotemporal Graph Neural Network to improve MAE by 20% over baseline regression models.
As Machine Learning Coordinator at Google Developer Groups, I lead technical workshops on machine learning pipelines, model evaluation, and LLM application architecture. I’m pursuing a dual degree in Computer Science and Engineering at Indian Institute of Information Technology (IIIT).
