Summary
Eduarda Chagas is an AI research engineer with nine years of experience bridging foundational research and production-grade GenAI systems, currently leading research at Kunumi and building ORCHESTRA, a telemetry-driven control framework for LLM multi-agent systems. Her work uniquely blends time-series analysis, causal inference, and control theory to govern agentic AI without inspecting prompts or responses, informed by a strong academic track as a PhD candidate at UFMG and an award-winning master’s dissertation. She has driven GenAI initiatives and produced multiple patents at Dell Technologies while contributing end-to-end ML solutions in industry engagements. Comfortable moving from mathematical theory to scalable deployment, she’s also the founder of Duda Labs, reflecting a deep focus on governance, reliability, and system-level optimization.
9 years of coding experience
10 years of employment as a software developer
Bachelor Degree in Computer Science, Bachelor Degree in Computer Science at Universidade Federal de Alagoas
PhD Candidate in Computer Science, Research Areas: Time series, Ordinal Patterns and Federated Learning, PhD Candidate in Computer Science, Research Areas: Time series, Ordinal Patterns and Federated Learning at Universidade Federal de Minas Gerais