Banti Gheneti is a geospatial machine learning engineer with 11 years of experience building production ML and data systems for robotics, agritech, cleantech, and national GIS platforms. He combines an MEng from MIT and hands-on roles at organizations like Pickle Robot, NASA JPL, and startups to ship perception pipelines, Kubeflow-powered semantic segmentation, and serverless geospatial APIs. He has led AI teams to deploy vision and LiDAR systems in logistics, architected an integrated GIS portal for a national government, and consults on cleantech data backends and computer-vision hardware integrations. Multicultural and multilingual (five languages), Banti bridges cross-cultural stakeholder engagement and technical execution, often turning academic research—published optimization and robotics work—into deployable systems.
11 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng Computer Science - Artificial Intelligence, Master of Engineering - MEng Computer Science - Artificial Intelligence at Massachusetts Institute of Technology
IB Diploma, IB Diploma at United Nations International School
Contributions:34 commits, 28 pushes, 2 branches in 3 years 7 months
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