Guilherme Lima

Architecting and leading enterprise-scale GenAI strategy and governance for Brazil's leading SME ERP, delivering LLM post-training, agentic workflows, and multi-modal AI solutions that increased product capability and user engagement across 180K+ businesses.

Accelerated GenAI adoption by architecting enterprise-scale LLMOps pipelines and agentic workflows on GCP, delivering automated model fine-tuning, semantic search integration, and enhanced deployment monitoring to improve customer experience operations.

Led GenAI/LLM integration and enterprise ML transformation across 10 data product squads for Latin America's largest media group, implementing multi-modal AI and MLOps CI/CD that reduced deployment time from weeks to hours and improved content recommendation ROI.

Led AI strategy and MLOps for a music fintech, delivering credit scoring, loan underwriting, and recommendation systems from streaming data that reduced default rates and improved acquisition and retention.

Provided enterprise ML and data architecture consulting across multi-cloud environments, engaging C-level stakeholders to design scalable AI transformation roadmaps and proof-of-concepts that converted prospects into paying customers.

Led data transformation across three squads, building recommendation systems and predictive analytics for supply chain optimization that improved cross-selling, customer lifetime value, and reduced stockouts.

Implemented precision agriculture ML solutions and multi-cloud MLOps infrastructure to support crop yield prediction and cross-functional deployment, enhancing decision-making across R&D and operations.

Led development of recommendation systems and scalable MLOps infrastructure for real-time analytics and parts distribution optimization, increasing parts sales and reducing manual data processing time.

Developed ML models and real-time medical data processing for surgical optimization and video-assisted surgery products, improving surgical outcomes and reducing equipment downtime.

Led multidisciplinary R&D in healthcare technology, AI/robotics, and NLP, publishing research and developing ML systems for cardiac monitoring and autonomous robotics over an eight-year academic tenure.

Activities and societies: Final work: Automatic Classification of Arrhythmic ECG Beats using Machine Learning; focus on AI, ML, and signal processing.

Completed a Bachelor of Science in Computer Science with focus on Artificial Intelligence, Machine Learning, and Signal Processing; final project on automatic classification of arrhythmic ECG beats using machine learning.

Activities and societies: Studied modelling and simulation of biological systems; advanced Python and R development for data mining and ML.

Post-graduate course in Modelling and Simulation of Biological Systems with applications of machine learning and advanced Python/R development for data mining and machine learning.