Projects

NeuralRocks is an AI-powered 3D geological modeling platform that builds a living digital twin of orebodies from drillhole, geophysical, and geochemical data. I lead the end-to-end development of the modeling pipeline and web experience, from data ingestion and APIs to uncertainty-aware subsurface visualization.

An innovative Python library designed for geological modeling, enabling users to create, analyze, and visualize complex 3D geological structures. Features include fault simulation, data visualization, and export capabilities.

TerraGuard is an interactive web application designed to predict and prevent sinkhole hazards using advanced machine learning and geospatial data analysis. Developed as part of the Microsoft Innovation Challenge, TerraGuard leverages the power of AI to provide real-time risk assessments and early warnings, enhancing community safety and proactive risk management.

A comprehensive dashboard for visualizing and analyzing urban heat island effects across major cities, featuring interactive maps, city comparisons, and mitigation simulations.

Comprehensive machine learning approach for predicting the electrical power output of a 3-kilowatt micro gas turbine based on input control voltage. The project addresses the challenging task of modeling the temporal dynamics of gas turbines, particularly the time delay between input changes and output response.

Advanced analytics tool for processing and visualizing mining operation data using Python and machine learning.