Teams at Lynx Analytics

Own solution architecture for client engagements, including data models, system designs, integration patterns, and technology choices. Lead technical discovery, present architectural trade-offs, define reusable standards, and review delivery-team implementations. Build prototypes, proofs of concept, and early pipeline or application components to validate decisions. Partner with engineers to resolve ambiguity, establish testing and monitoring foundations, and contribute to internal tooling and knowledge-sharing.

Lead end-to-end data science engagements combining statistical modeling, machine learning, large-scale data transformation, and generative AI. Build agentic LLM applications, present analytical solutions to C-level stakeholders, lead workstreams, mentor junior data scientists, and collaborate with delivery and account teams. Develop reusable documentation and code libraries while contributing to internal research and education.

Lead architecture and delivery of agentic AI systems, own the context layer (memory, GraphRAG, knowledge graphs), build robust RAG and retrieval infrastructure, translate client requirements into technical designs, define reusable agentic patterns, and establish observability and evaluation pipelines for production AI.