About Aleix López Pascual — Senior Data Scientist & AI Engineer
Senior Data Scientist with 7+ years of experience, currently leading GenAI initiatives across the Glovo and Delivery Hero (DH) ecosystem. I focus on productionizing multi-agent architectures and automated taxonomies that serve as the foundational data layer for millions of users globally.
Core Expertise
- Generative AI: Specialist in Multi-Agent Systems, Agentic RAG, and Automated Taxonomy. Expert in building LLM-as-a-Judge evaluation frameworks, Synthetic Data generation, and domain-specific fine-tuning.
- Classical ML & Optimization: Deep experience in Recommender Systems (Upselling/Ranking), Financial/Marketplace Optimization, and high-scale logistics forecasting using GBMs for real-time ETA predictions.
- Engineering & MLOps: Successfully deployed 20+ ML models into production. Expert in designing agentic asynchronous processing pipelines and building scalable AI agents using the GCP (Vertex AI) and OpenAI stacks.
Key Career Milestones
- Global Discovery: Designed the foundational multi-agent Food Taxonomy used across all DH brands to classify and extract nutritional information in 14+ languages, directly enhancing search and navigation.
- Revenue Growth: Delivered a global +2% uplift in AOV and Conversion Rate via an end-to-end product upselling system.
- Operational Efficiency: Architected automated content moderation and synthetic data pipelines, reducing reliance on manual labeling and optimizing LLM costs through advanced caching solutions.
- Leadership: Core member of the Glovo & DH Data Science Guilds, influencing the global technical roadmap and driving technical mentorship for the next generation of scientists.
Technical Influence & Community
- Kaggle: Top 1% Competitor, multiple medals.
- Medium: Writing technical deep-dives for publications like Analytics Vidhya.
- Thought Leadership: Owner of the Agentic AI Reading Club at DH; Speaker at DS events like the AI Summit in Barcelona.
I am always open to connecting with passionate professionals to discuss the future of agentic systems, MLOps, or potential collaborations. Explore my work below!