Teams at Oteemo Inc.

Designs scalable data architectures and pipelines supporting digital twins, analytics, and operational modeling. Develops a digital twin of operating-room environments, translates workflows into data and simulation models, and builds scenario-analysis capabilities for staffing, scheduling, capacity, patient flow, and resource utilization. Creates dashboards, APIs, and decision-support tools while establishing data governance, quality, lineage, validation, documentation, and monitoring. Collaborates with healthcare stakeholders, technical teams, and government leadership.

Build and deploy AI-powered applications, LLM agents, RAG pipelines, backend services, APIs, and frontend applications. Integrate cloud AI services, databases, Docker, and infrastructure-as-code while applying secure development practices. Collaborate with engineering, business, and client teams to prototype solutions, conduct workshops, and deliver client-facing features. The role may evolve into forward-deployed engineering with direct client engagement.

Design and deploy optimization and machine learning models for allocating scarce parts and resources across competing programs. Responsibilities include formulating MILP and constraint optimization models, forecasting demand and supply risk, building data pipelines, validating outputs, communicating tradeoffs to stakeholders, mentoring junior data scientists, and partnering with software engineers to productionize scalable services.