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Mark R.

Mark R.

Chief Scientist | Futurist | Spatial | Computer Vision | Deep Learning | Segmentation | Object Detection | Imagery | Vector GIS | Vegetation | Data Engineer | DevOps | Data Pipelines | Full Stack

Loveland, Colorado

Computer Vision / GeoAI scientist focused on complex, multi-faceted, deep learning, and machine learning integrated systems for rapid classification, prediction and object detection of primarily spatial data sets.

Source Control: Git / GitHub, TFS, SVN
Sensor Data: Optical (RGB - Multispectral), LIDAR, Thermal, SAR
Cluster Managers: Docker Swarm, Kubernetes
Containers: Docker
Automation: Ansible
Virtualization: VirtualBox, Vagrant, Hyper-V
Big Data: Hadoop, Zookeeper, Accumulo, Kafka, Spark, PySpark, Hive, HDFS, HBase, MicroStrategy
Deep Learning / Data Science: PyTorch, Keras, TensorFlow, YOLO, CNNs, RNNs, VGG16, InceptionV3, ImageNet, R
Cloud OS: Amazon Linux, Ubuntu, CentOS
Cloud: AWS, Lambda, S3, EC2, EMR, EBS, Lambda, DigitalOcean, CloudFoundry
Web Servers: IIS, Apache Web Server
CI / CD / Monitoring and Build: Jenkins, Airflow, Nagios, Splunk, XL Deploy / Release, NPM, pip, SBT, Maven, Ant
Load Balancers / Reverse Proxy: ELB, NGINX
GIS / Other Software: GeoTrellis, GeoMesa, ArcGIS, ArcGIS Pro, ArcGIS Server, ArcGIS Image Server, QGIS (Quantum GIS), Google Earth, GeoServer, Mapbox Studio, MapServer, FME Workbench / FME Server, GRASS GIS, MapInfo, Erdas Imagine, AutoCAD, MS Project, Photoshop, Illustrator, Visio, GIMP, Unity3D, CryEditor
Programming Languages: Python, Scala, Java, JavaScript/ECMA6/TypeScript, C#
QA and Testing: Test planning and cases, User Stories/Requirements, Regression and load testing, Bug Tracking, Development Lifecycle
Testing Software: NUnit, JUnit, PyUnit, PostMan, SoapUI, JMeter, Lettuce, Selenium, Jest
IDEs: WevStorm, PyCharm, IntelliJ, Visual Studio, Eclipse, VS Code
Web: HTML 5, ReactJS, CesiumJS, Redux, JSX, JSON, JavaScript/ECMA6, WebPack, Babel, Node.js, Leaflet, OpenLayers, GeoJSON
Web Services: Flask, WCF, JWS, JSP, CherryPy, GML, WMS, WFS, WCS
APIs / Components: PyCUDA, OpenCV, GDAL, OGR, Rasterio, ArcGIS Server/Image Server REST API, ArcGIS JavaScript / Leaflet API, Hibernate, Spring, Shapely, ArcPy, ArcObjects, ASP.NET, Psycopg, NumPy, Pandas, Scikit, SciPy, SQLAlchemy
Applied Theory and Patterns: SOA, Data Science, OO Programming, Artificial Intelligence, Agile, REST
Relational Databases / NoSQL: Oracle / Oracle Spatial, SQL Server, SQLite, S3, RDS, PostgreSQL / PostGIS, GeoDB design, ArcSDE, Access, MySQL, MongoDB
Languages: Fluent in Spanish


  • Principle AI Engineer - Computer Vision - GeoSpatial Data Science (AgVerde)
  • Senior Full Stack GIS Developer / DevOps / QA (Contractor) (Maxar Technologies)
  • Full Stack Senior GIS Developer (Denver Water)


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