Summary
Hector Palacios is an AI Planning Engineer and Research Scientist with over 15 years of experience advancing machine learning, generative models, and symbolic planning for task-oriented dialogue and embodied agents. He has led research and product-facing projects at ServiceNow and Element AI, won the ALFRED challenge for embodied agents, and published 30+ papers with an H-index of 11 and 900+ citations. Hector blends NeuroSymbolic methods and search-based planning to improve LLM generalization, robustness, and interpretability, and recently shifted to applying symbolic planning in manufacturing systems that generate operator-executable procedures from CAD. He has held academic roles, chaired NeurIPS areas and served as an editor for TMLR, signaling strong community leadership beyond hands-on engineering. Comfortable in Python, C++, Java and with tools like PyTorch and Hugging Face, he pairs deep research rigor with practical delivery of scalable AI solutions. An easter-egg of his career: his early work led to a patent on planning and diagnosis filed during an internship at PARC.
10 years of coding experience
10 years of employment as a software developer
Ms, Computer Science, Ms, Computer Science at Universidad Simón Bolívar
PhD, Information and Communication Technologies, PhD, Information and Communication Technologies at Universitat Pompeu Fabra
Engineer, Computing, Engineer, Computing at Universidad Nacional Experimental Simón Bolívar
English, Spanish