Research Scientist
Current- Responsible for algorithm design, development, implementation, testing, and documentation for Numerica’s BStAR (Batch Stick Association and Refinement) algorithm for multi-sensor track fusion and discrimination
- Led the integration of BStAR into Numerica’s MHC (Multiple Hypothesis Correlation) algorithm as part of the C2BMC suite of the BMDS
- Designed and implemented a cooperative-strategy impact-point prediction capability into Numerica’s AZAT (Advanced Threat Impact Zone Analysis Tool) threat prediction algorithm to be deployed on Kubernetes clusters
- Designed metrics and interactive customer-facing visuals for analyzing real-time and retrospective algorithmic performance
- Demonstrated exceptional skills in debugging, optimizing, and integrating code into large and complex software infrastructures
- Collaborated with several team members and coordinated efforts using Git source control and GitLab to efficiently meet customer expectations