Victor Chernetsky
Sr. Design Product Engineer at Abbott
North Providence, Rhode Island, United States
Summary
👤
Senior🎓
Top SchoolVictor Chernetsky is a senior design and product engineer with over three decades of hands-on experience across embedded systems, computer graphics, GIS and mobile platforms, currently shaping medical device design at Abbott. As co-founder and VP of Mobile at AmigoCloud, he led cross-platform mobile engineering and built cloud-synced geospatial visualization and collection tools while deploying PyTorch-based deep learning models for satellite imagery tasks like roof and parcel detection. His background includes automotive navigation and high-precision inertial positioning at Delphi and Pioneer, and earlier work on satellite receiving stations and remote sensing that fed into robust object-recognition pipelines. Victor contributes to open-source geospatial tooling (notably AmigoCloud integration work in GDAL), bridging field data collection with backend interoperability. Comfortable from low-level C/C++ and OpenGL to RxSwift/RxKotlin and Kubernetes-based ML deployments, he blends systems-level rigor with product-focused delivery. Based in Rhode Island, he pairs entrepreneurial experience with rare domain depth in both real-time embedded systems and production ML for geospatial problems.
11 years of coding experience
32 years of employment as a software developer
MS Computer science EE Systems, MS Computer science EE Systems at Kharkiv National University of Radio Electronics
Github Skills (13)
json10
gdal10
geo10
spatial10
c-language10
geospatial10
cprogramming-language10
spatial-data10
sql9
vector9
vector-math9
api9
apim9
Programming languages (9)
Github contributions (5)
OSGeo/gdal
May 2019 - Mar 2021
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 9 commits, 14 PRs in 1 year 10 months
Contributions summary:Victor primarily contributed to the AmigoCloud driver within the GDAL library, focusing on fixing bugs and implementing features related to data handling and integration with the AmigoCloud API. Their work includes addressing issues with date/datetime field types, fixing JSON encoding for nested strings, and fixing SQL delete operations. Furthermore, the user fixed the GetFeature functionality, improving the overall data retrieval process from the AmigoCloud service.
licensedrasteriogeospatialrasterdata-formats
amigocloud/amigomake
Mar 2015 - Sep 2018
Contributions:26 commits, 2 PRs, 20 pushes in 3 years 7 months
cppios-androidlinuxandroidmulti-platform
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