Javier Garcia de Leaniz

Designer

A small river named Duden flows by their place and supplies it with the necessary

Javier Garcia de Leaniz

Javier is an AI Engineer with over nine years of experience in AI and data science, specializing in natural language processing, large language models, machine learning, and software engineering.

Developed a Generative AI Tool: Created a product that structures business data, documents, emails, and voice recordings, processing millions of documents to enhance data management efficiency.

Led AI-driven Product Development at EY: As Lead Data Scientist, managed a multidisciplinary team of over 50 members to build AI-driven products focusing on NLP and generative AI, implementing models for layout detection, document classification, and question-answering.

Optimized Web Scraping Processes: At Explore My Store Pty Ltd, developed a web scraping process that obtained full details on 1.5 million products from 1,400 eCommerce sites, optimizing the process to detect product changes without requiring a full re-scrape, resulting in over 60% cost reduction.

Deployed Retrieval-Augmented Generation (RAG) Pipelines: As CTO at Smart Retrieval, led the development of a RAG pipeline enabling natural language search over business documents like financial statements and contracts, leveraging Generative AI and Large Language Models services to improve information retrieval.

Full-stack Web Application Development: Independently developed a web app allowing users to search for restaurants in natural language based on their characteristics, handling the entire stack from user interface to AI modules and CI/CD pipelines.

Main Skills
Experience
Smart Retrieval – CTO / ML Engineer [2023 – Present]

EY – AI Associate Director [2017 – 2023]

Accenture – Data Engineer [2014 – 2016]