The brilliant minds behind ATLAS™

One multidisciplinary team, turning radiometric thermal and spatial data into predictive understanding of the built environment.

The building has always been talking. We're learning its language.

Building ATLAS™, our engineering intelligence platform, takes more than one discipline. It takes people who read heat, space, structure, and data, and a shared conviction that buildings can be understood before they fail.

Geo S.

Founder & Chief Executive Officer

Aerial SystemsThermography30 Yrs Built Environment

Geo founded CoreTherm around a fundamental belief: the built environment is constantly producing information. We simply have not been listening closely enough. With nearly three decades of experience in the built environment and years of hands-on work in aerial systems and thermography, he recognized an enormous gap between the data buildings produce and the way owners understand their assets.

He assembled a multidisciplinary team spanning artificial intelligence, machine learning, mechanical engineering, thermal and fluid sciences, geospatial engineering, and data science. Together, they are developing ATLAS and building CoreTherm around Engineering Memory: a longitudinal intelligence layer where every dataset strengthens the understanding of an asset and every return visit adds another chapter to its history.

“Buildings should not have to fail before we understand them. Every asset is constantly producing signals about its condition, performance, and future.”

Mohammed E.

Chief Engineer · Technical Project Manager

Predictive ModelingData EngineeringLLM Development

Mohammed helps lead the technical development of CoreTherm's engineering intelligence platform and the systems behind ATLAS. With a foundation in applied mathematics, statistics, computer science, and artificial intelligence, he brings together predictive modeling, data engineering, software development, and automation to solve complex problems across the built environment.

His focus is not simply building models, but building systems that turn enormous volumes of complex data into repeatable, actionable intelligence: radiometric thermal data, geospatial intelligence, engineering models, and machine learning connected into a unified technical framework.

“Data becomes valuable when it becomes understanding. We can move beyond seeing what is happening and begin predicting what happens next.”

The engineering team

Soyabul L.

Machine Learning Engineer

Deep LearningComputer VisionPyTorch

Soyabul specializes in deep learning, computer vision, and advanced AI model development, with experience building production-grade machine learning systems using Python, PyTorch, TensorFlow, and Keras.

At CoreTherm, he applies computer vision and machine learning to radiometric thermal data, transforming complex thermal patterns into actionable building intelligence in support of ATLAS.

“The best AI does more than recognize patterns. It learns what those patterns mean.”

Adnane A.

Mechanical Engineer · Fluids & Energy

CFDHeat TransferMultiphysics

Adnane specializes in fluid mechanics, thermal engineering, energy systems, and advanced multiphysics modeling, spanning computational fluid dynamics, heat transfer, and risk analysis with tools including Ansys Fluent, OpenFOAM, and Star-CCM+.

At CoreTherm, he applies physics-based modeling to interpret how heat, airflow, moisture, and energy move through the built environment, strengthening the engineering foundation behind CoreTherm's thermal intelligence.

“Heat, energy, and airflow are never random. They follow the laws of physics.”

Hasan Z.

Geospatial Engineer · Remote Sensing

PhotogrammetryRemote SensingGIS

Hasan specializes in photogrammetry, remote sensing, GIS, and advanced spatial modeling. His eight-plus years of experience span UAV photogrammetry, radiometric thermal and multispectral analysis, orthomosaic generation, point clouds, terrain modeling, and 3D geospatial databases.

At CoreTherm, he transforms aerial and thermal datasets into precise, spatially intelligent models of the built environment: accurate asset mapping, thermal anomaly analysis, and the tracking of building conditions over time.

“Every asset exists in space, and every change leaves a spatial signature.”

Michael B.

Structural Engineer · Analysis & Design

ETABSTekla350+ Projects

Michael is a Structural Engineer with more than 350 completed residential and commercial projects across the United States, United Kingdom, and Europe, spanning structural analysis, steel and timber design, load path evaluation, connection engineering, foundation design, and stability analysis.

At CoreTherm, he connects observed building conditions with a deeper understanding of structural systems, load transfer, and material behavior, helping the team understand buildings as interconnected systems rather than isolated components.

“A structure tells you how forces move through it. Understand the load path, understand the materials.”

Put this team on your asset.

Every engagement starts with a Property Intelligence Assessment™: a complete picture of asset condition and risk, built by experienced specialists.

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