Implement full-stack adoption of cloud based data analytic platform, including identify business requirements, creating an implementation-agnostic agent-oriented communication framework across internal and external client platforms, and implemented the agent and internal tiers.Redesigned core computational framework by analyzing data usage and logical graphs to design a cloud-based streaming architecture. Created and evaluated prototypes with multiple entry points, based on granularity of streaming and level of architectural reuse.Improved data loading by analyzing data usage and implementing better data access patterns. Analysed C++ using Intel Performance Tools, improved algorithms, data structures, and computational flow, reducing algorithmic complexity.Sped up computation by redesigning workflow to be grouped by metadata attributes and design time enhancements to static data to minimize algorithm complexity. Sped up data loading by using log(n) or n log(n) data structures. Reduced memory footprint by only loading spatially intersecting data.Assigned to multiple high-priority support tasks as a surge resource with expertise across the full development stack - UI, API, Services, Computation, Databases.Attacked technical debt using SOLID design methodologies and “campsite” technique mindset.Implemented custom ESRII map controls, allowing users to create or important layers or shape files for geo-spatial analysis.Implemented a UI/API to back-end translation layer which allowed legacy MDX-type query access onto of flat (postgreSQL) tables, which increased performance for worst case scenarios, maintained performance for average access

Develop remote access software platform for explosive trace detection machines.

Develop real time machine control and data analysis software for materials testing machines.

Develop test scripts in Perl, support Unix servers.

Test printer firmware, automate builds.