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Hi, I’m Mohammad Amin Khalili, a Geospatial AI Scientist and AI Engineer based in the United Kingdom. I design end-to-end ML/DL pipelines for large-scale Earth observation and environmental intelligence, working across computer vision, LIDAR/point clouds, and SAR imagery to deliver production-ready geospatial solutions. I enjoy translating research into practical applications, collaborating with cross-functional teams, and contributing to open science through publications and conference work. I’m passionate about applying AI to risk management, urban planning, and ecological monitoring.…Hi, I’m Mohammad Amin Khalili, a Geospatial AI Scientist and AI Engineer based in the United Kingdom. I design end-to-end ML/DL pipelines for large-scale Earth observation and environmental intelligence, working across computer vision, LIDAR/point clouds, and SAR imagery to deliver production-ready geospatial solutions. I enjoy translating research into practical applications, collaborating with cross-functional teams, and contributing to open science through publications and conference work. I’m passionate about applying AI to risk management, urban planning, and ecological monitoring.

Mohammad Amin Khalili

AI Engineer, Data Scientist, Data Analyst, +2

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Hi, I’m Mohammad Amin Khalili, a Geospatial AI Scientist and AI Engineer based in the United Kingdom. I design end-to-end ML/DL pipelines for large-scale Earth observation and environmental intelligence, working across computer vision, LIDAR/point clouds, and SAR imagery to deliver production-ready geospatial solutions. I enjoy translating research into practical applications, collaborating with cross-functional teams, and contributing to open science through publications and conference work. I’m passionate about applying AI to risk management, urban planning, and ecological monitoring.…Hi, I’m Mohammad Amin Khalili, a Geospatial AI Scientist and AI Engineer based in the United Kingdom. I design end-to-end ML/DL pipelines for large-scale Earth observation and environmental intelligence, working across computer vision, LIDAR/point clouds, and SAR imagery to deliver production-ready geospatial solutions. I enjoy translating research into practical applications, collaborating with cross-functional teams, and contributing to open science through publications and conference work. I’m passionate about applying AI to risk management, urban planning, and ecological monitoring.

Available to hire

Hi, I’m Mohammad Amin Khalili, a Geospatial AI Scientist and AI Engineer based in the United Kingdom. I design end-to-end ML/DL pipelines for large-scale Earth observation and environmental intelligence, working across computer vision, LIDAR/point clouds, and SAR imagery to deliver production-ready geospatial solutions.
I enjoy translating research into practical applications, collaborating with cross-functional teams, and contributing to open science through publications and conference work. I’m passionate about applying AI to risk management, urban planning, and ecological monitoring.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

KTP Associate at University of Leicester; Bluesky International Limited; Innovation UK

February 1, 2025 - Present

Designed and delivered end-to-end AI pipelines for national-scale tree canopy segmentation and species detection/classification; developed scalable multi-tile unsupervised segmentation methods (Advanced Watershed, Graph-Cut, MST, and LIDAR-Aware Multi-Stage Watershed); automated the Tree Canopy Segmentation pipeline with FastAPI-based deployment; trained attention-based ResNet models for operational species classification; translated stakeholder feedback into actionable roadmaps using NLP; managed full project lifecycle: planning, implementation, evaluation, documentation, and demos; evaluated models and prepared stakeholder-facing QA documentation; integrated EO analytics for geohazards.

Remote Sensing Researcher at SINTEMAe Engineering SRL

June 1, 2023 - December 1, 2024

Delivered EO processing and analysis for multiple projects using GMT-SAR, STAMPS, and ISCE; created AI-enabled workflows for Sentinel-1 and COSMO-SkyMed imagery to improve geohazard detection and prediction; integrated EO analytics into disaster risk management and urban planning.

Remote Sensing Researcher at Independent / Freelance

November 1, 2019 - November 1, 2021