Summary
Alessandro Garay is a Data & AI Specialist with 13 years of experience building production NLP and ML systems across startups, media, and research institutions in Brazil and Europe. He pairs an M.Sc. in Computer Science from the University of São Paulo with hands-on expertise in LLM fine-tuning, RAG pipelines, agentic systems, and scalable data architectures—most recently leading GenAI initiatives for legal search and an LLM evaluation platform at Jusbrasil. His career blends product-focused engineering (web and backend) with deep academic roots in computational linguistics, having contributed to projects at USP and DFKI that span semantic processing and emergency-text analysis. Alessandro has repeatedly moved prototypes to production: from large-scale message normalization and bank-statement annotation to intelligent financing advisory pipelines that surface real-time cash-flow decisions via WhatsApp. He is comfortable leading teams and rolling up his sleeves for code, evaluation frameworks, and model deployment, and often brings an interdisciplinary view that fuses linguistics, software engineering, and business impact. Based in São Paulo, he focuses on practical GenAI solutions that measurably improve user workflows and decision-making.
13 years of coding experience
13 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at USP - Universidade de São Paulo
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Universidad Católica San Pablo
English, Portuguese, Spanish