Gregory Petrochenkov
Geospatial Developer
Virginia, United States
Summary
👤
Senior🎓
Top SchoolGregory Petrochenkov is a Geospatial Developer with 8 years of experience applying computer science, data science, and AI to environmental and hydrological problems across the USGS and the private sector. He builds scalable geospatial and modeling software—combining time-series analysis, DSP, HPC and distributed processing—with hands-on expertise in Python, Julia, C#, Spark, and geospatial stacks like QGIS, ArcGIS, GeoPandas and PostGIS. At USGS he translated scientific methodologies into production-ready algorithms and documentation for hydrology and oceanography, and now at Lynker focuses on flood inundation modeling and geospatial evaluation. Comfortable working independently or in teams, he prioritizes clear communication and continuous learning, often exploring new languages and ML frameworks such as TensorFlow, PyTorch and DeepXDE. Colleagues describe him as warm-hearted, patient and perceptive—traits that help bridge technical complexity and real-world impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at George Mason University
Github Skills (86)
geojson10
python-server10
hydrology10
geography10
geodesy10
osgeo10
ord10
ogc10
geopandas10
water10
api10
noaa10
evaluation10
geospatial10
gis10
Programming languages (6)
Github contributions (5)
NOAA-OWP/gval
Apr 2023 - Jun 2026
A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
Contributions:5 releases, 73 reviews, 73 PRs in 3 years 2 months
geospatialpythonearth-scienceenvironmentevaluation-framework
gpetrochenkov-usgs/waterdataui
Feb 2020 - Jul 2020
[Beta] Water Data For The Nation Site Pages
Contributions:61 pushes, 16 branches in 4 months
waternation
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