Summary
Alexandre Giordanelli is a Senior Search Engineer based in Rio de Janeiro with 11 years of experience building scalable ML and search solutions for finance and enterprise. He spent over a decade at BTG Pactual designing NLP pipelines, time-series neural models, and high-performance Spark/Databricks workflows, then moved to Motorola Solutions to focus on search at scale. His toolkit spans Python, Scala, PyTorch, TensorFlow, XGBoost, Elasticsearch, and production infra with Kubernetes, Terraform, and Docker, enabling end-to-end ML systems from feature engineering to deployment. He has practical experience applying LLMs and custom NLP to financial text, plus hands-on optimization of large data pipelines that reduced processing time and improved query relevance. Known for bridging data science and production engineering, he combines algorithmic rigor with pragmatic infrastructure choices. Fluent in turning complex financial datasets into actionable search and predictive systems, he brings both research curiosity and operational discipline.
11 years of coding experience
14 years of employment as a software developer
Pontifical Catholic University of Rio de Janeiro