Summary
Guilherme Leme is a data and engineering leader with 12–15 years in technology and a strong bridge between software engineering and applied data science. He has led multidisciplinary teams building data platforms, pipelines and ML products across industries—from healthcare with 200M+ lab tests to solar energy and financial services. Hands-on experience spans Python, Spark, BigQuery, Azure Data Lake, GCP, Docker and production ML (Prophet, ARIMA, TensorFlow), plus a background in REST APIs and SQL/NoSQL systems. He founded DataOps practices at scale, automating CI/CD, data quality and monitoring for deployable data products. Known for turning complex business rules into optimized solutions (e.g., inventory optimization and churn models using neural nets and Pareto techniques), he combines technical depth with sprint planning and stakeholder-facing delivery. Based in São Paulo, he’s passionate about AI and consistently moves models from prototype to production.
12 years of coding experience
12 years of employment as a software developer
Técnico em Informática, Técnico em Informática at ETEC São Paulo
Master's degree (On hold) Information Systems, Master's degree (On hold) Information Systems at USP - Universidade de São Paulo
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Paulista
English, Spanish