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Work Experience
Research Scientist
ServiceNow• March 2021 - August 2023
• Led the conception and development of a project on fine-tuned LLMs for task-oriented dialogue, featuring slot filling and multiple actions per task; actively contributing to coding (arXiv 2023). • Led and supervised work on embodied taskable agent in a simulated environment generalizing across skills, object types and relationships using symbolic planning, winning the ALFRED challenge 2022 (NeurIPS’23). • Formulated and led work on search methods for improving ML-based planning by approximated symbolic model (PRL workshop @ IJCAI’22). • Proposed, developed and advised on using symbolic planning for automatic generation of interactive dialogue paths (Proofs of Concept @ ServiceNow).
Applied Research Scientist
ElementAI• September 2018 - February 2021
• Pioneered and transferred the only two technologies –for OCR and text2sql– from the AI Core/R&D team ever delivered to the Products team. • Invented novel constrained ML inference for both, no retraining needed. • For OCR, developed library that achieved double-digit absolute improvement in hard cases, while keeping the same performance in all the other samples. • For Question answering (text2sql), formulated and supervised the use of constrained inference of multi-classifiers using constraint optimization, replacing ad-hoc heuristics. • Designed evaluation of text2sql model using a LLM trained from scratch. Collected data and evaluated the performance. • Advised internal customers and products about their AI strategy.
Senior Research Scientist
Nuance Communications• November 2016 - September 2018
• Developed a Siamese Network for intent similarity detection in natural language utterances using TensorFlow. • Improved Question answering on domain-specific content and no labelled data, using word embeddings and information retrieval. Owned the project scope, clarified the evaluation and the scope of the existing solution.
Education
Universitat Pompeu Fabra
Computer Science, PhD• October 2003 - December 2009
Symbolic planning under incomplete information in discrete domains where states are distributions/set of possible states, and actions are non-deterministic. keywords: symbolic reasoning, constraints, SAT, logic, solvers, theorem provers
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