Teams at Expression Networks, LLC

Design, optimize, and deploy ML/LLM capabilities for resource-constrained edge environments. Build efficient inference pipelines, RAG/semantic search, distributed inference orchestration, model optimization (quantization/pruning/distillation), evaluation frameworks, monitoring, and production integration. Support multimodal/sensor data, documentation, demos, and responsible AI/governance.

Lead design and implementation of an edge-native intelligent processing platform integrating SDRs, edge AI, distributed inference, resilient P2P communications, containerized services, CI/CD/DevSecOps, and cloud/embedded integrations while mentoring engineers and supporting demos and documentation.

Lead design and delivery of an enterprise Agentic AI platform: architect production-grade LLM services, agent workflows, retrieval and vector search pipelines, and observability. Build scalable Python (FastAPI) and TypeScript/Node services, deploy on Kubernetes/AWS/Azure with CI/CD, implement AI governance and evaluation frameworks, mentor engineers, collaborate cross-functionally, and support customer engagements and technical documentation.