Scaling advanced AI for real-world product discovery and categorization
Event PAST

Scaling advanced AI for real-world product discovery and categorization

11 June Online

About this event

------- Registration via this link only ---------

Join us for another Tech Talk at Glovo HQ 🚀

We’re opening the doors of Yellow Park for the Data Science Tech Meetup on Thursday, June 11th, to explore how to scale advanced AI for real-world product discovery and categorization.

Glovo’s team and Anna Sánchez from Wallapop will join the conversation to share their experiences building AI solutions at scale for product discovery and categorization

  • Deploying LLMs at Scale at Delivery Hero: Our very own team Aleix LĂłpez and Pablo Medina will share what they've learned deploying LLMs in production at Delivery Hero for food categorization across millions of products and multiple markets. Rather than focusing on the model itself, we'll dive into the parts that don't usually make it into papers or blog posts: hard-won takeaways on evaluation, cost optimization, and stakeholder management.
  • The Path to Semantic Search at Wallapop: Anna Sánchez Espunyes from Wallapop will talk about how the company moved beyond rigid keyword matching. She’ll break down how they use embeddings to understand what users actually mean when typing vague or misspelled queries into a constantly changing inventory of 100M listings.

🎤 AGENDA:

  • 18:30 – 19:00 | Deploying LLMs at Scale at Delivery Hero (Aleix LĂłpez & Pablo Medina) + 10 min Q&A
  • 19:00 – 19:30 | Path to Semantic Search at Wallapop (Anna Sánchez Espunyes) + 10 min Q&A
  • 19:30 – 20:30 | Drinks & Food

⏰ WHEN:
Thursday\, June 11th\, 2026 | 18:30 to 20:30
📍 WHERE:
Glovo HQ - Llull 108, 08005 Barcelona

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.