Worked with data science to build a product recommendation service

Developed a product catalog merged from various sources: internal, 3rd party. Utilized Python Pandas to handle duplicates caused by caused by case and white space differences

Developed highly scalable backend applications in AWS. Tech stack includes: Lambda, Kubernetes, Protobuf over Kinesis, PostGIS, DynamoDB, Elasticsearch

As a full stack developer worked on React components that pair with our backend applications

Assisted in the development of the next gen job submission framework using the AWS stack

Assisted in development of ZeroMQ based socket communication library. Deployed the use of C++ policy pattern for choosing the communication behavor. In addition used Boost.Python to expose the API as a Python module.

Member of the development team that won a 2013 R&D 100 award for the Multi-Mode Passive Detection System

Managed a team of six software engineers

Lead the team through a successful U.S. Homeland Security DNDO characterization test

Developed object factory for algorithm regression test framework

Developed Python modules that wrap C++ libraries using Boost.Python and Swig

Developed paired Python and C++ libraries to communicate between Python and C++ applications over sockets

Improved upon existing image reconstruction visualization within the existing QT/VTK based libraries

Developed new socket communication middleware

Developed new data persistency framework

Improved the speed of algorithms using threading and Valgrind for profiling analysis

Trained employees on setup, support and operation of cluster environment

Assisted with the software installation and configuration during the construction of the detector at Freeport, Grand Bahamas