Teams at Expedition Technology, Inc.

Design, develop, and deploy AI-enabled backend services and agentic workflows that integrate ML models, APIs, and retrieval/RAG systems. Build scalable, containerized cloud-native architectures on AWS, implement data pipelines and APIs, ensure performance, reliability, and SDLC best practices, and collaborate with researchers to operationalize machine learning in mission environments.

Optimize and deploy computer vision, signal processing, and ML algorithms to GPU-enabled embedded platforms. Profile CPU/GPU performance, reduce latency, containerize solutions, work in Linux, and collaborate with ML engineers to transition models into production on low SWaP systems.

Design and deliver secure cloud-native CI/CD pipelines and DevSecOps capabilities for DoD/Intelligence programs: write/review Python, build containers and orchestration, implement IaC, automate cloud processes, troubleshoot Linux networking, and ensure compliance with NIST/CMMC/CIS.