Teams at Aaru

Design and improve simulation systems to generate high-fidelity synthetic agents from real-world data, build evaluation pipelines for population-level accuracy, ground agent behavior in diverse data sources, combine LLMs with classical methods, and iteratively close gaps between simulated and observed population behavior.

Turn simulation research into production: productionize core simulation loop, design reusable agent/population abstractions, build evaluation and accuracy infrastructure, optimize simulations for scale, collaborate with researchers on hybrid LLM+classical architectures, enable deployment tooling, and produce analysis and publication layers for clients.

Own the full enterprise sales cycle for Aaru's AI-driven behavioral simulation product: prospecting, discovery, scoping, pitching, negotiation, and close. Develop targeted outbound strategies, manage multi-stakeholder executive deals, expand market segments, refine go-to-market playbooks, and maintain disciplined pipeline hygiene, forecasting, and CRM-driven account plans.