Alexey Trekin is a CTO and researcher with a PhD-level background in mathematics and computer science, bringing over a decade of experience in computer vision and remote sensing applied research and production engineering. He leads cross-functional teams to turn deep learning research into reliable, deployable services—most notably driving AI model delivery and platform evolution for mapflow.ai while retaining hands-on Python development. Skilled in mentoring and hiring under tight constraints, he has improved operational workflows (reducing helpdesk load by >90%) and preserved 100% retention among key customers through iterative model and deployment improvements. His career bridges academia and industry—from publishing research and advising students to implementing C/C++ image-processing pipelines and adapting cloud platforms for on-prem installations—highlighting uncommon fluency across research, software, and infrastructure.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Geoalert's public QGIS plugin for using Mapflow from inside QGIS.
Contributions:10 releases, 160 reviews, 65 commits in 11 months
wcssatellite-imagerywpspythonwfs
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Alexey Trekin - Chief Technology Officer at GeoAlert