Alberto Romero

Director, GenAI Platform Engineering Citi

Alberto has a comprehensive background in Machine Learning, GenAI, Data Engineering and Big Data, with 15 years of experience building real-time platforms, with a focus on streaming analytics and machine learning applications including Fraud Detection, Risk Prediction and High Frequency Trading systems. Previously, Alberto co-founded an AI startup and served as its Chief Technology Officer (CTO) for 6 years, building from scratch an awarded insurtech platform that leverages data and AI to predict risk exposure of vehicles in real-time based on ML behavioural analytics and geospatial models. The startup was acquired by a large multinational at the end of 2023. In January of this year, Alberto joined Citi as Director of GenAI Platform Engineering. At Citi, Alberto is responsible for designing and building GenAI platforms for the bank, leading initiatives in the space and developing and productionising AI products. His role also involves staying up to date about technological advancements in GenAI, evaluating new frameworks and techniques to address the needs of internal customers. Some of his work includes the development of AI agents, complex RAG pipelines and evaluation frameworks to measure success of the applications in production-like environments.

Main Day 1 - Tuesday 14th January 2025

9:00 AM PANEL: How to Architect Your Gen AI Applications

  • Tools and techniques for model selection, training, and customisation, including foundation models, fine-tuned models, and centralised repositories to streamline AI development.
  • Deploying and Orchestrating AI/ML Models: How to effectively deploy, distribute, and orchestrate AI/ML models to ensure your solution is accurate, reliable, and scalable. Considering specific requirements for training and inference when designing AI/ML solutions. How to establish and meet performance benchmarks for different components of your system, ensuring optimal operation.
  • The importance of a robust infrastructure layer, including cloud platforms and specialized hardware (GPUs, TPUs), to support the intensive training and inference workloads of generative AI models.
  • How platform engineering for MLOps enhances the orchestration of AI models, focusing on adapting, deploying, and monitoring models effectively within end-user applications.

Check out the incredible speaker line-up to see who will be joining Alberto.

Download The Latest Agenda