André is a seasoned AI/ML Principal Architect with over 20 years of cross-functional expertise spanning machine learning, big data, data engineering, cloud platforms, and enterprise architecture. He has led international projects across Brazil, Portugal, the US, and Europe, implementing advanced ML pipelines, LLM-powered solutions, and real-time data systems. His recent focus includes GenAI, prompt engineering, and RAG, designing frameworks around OpenAI, LangChain, and multi-cloud environments. A strategic thinker and strong team leader, André excels in delivering scalable, secure, and production-ready data solutions.
André is a seasoned AI/ML Principal Architect with over 20 years of cross-functional expertise spanning machine learning, big data, data engineering, cloud platforms, and enterprise architecture. He has led international projects across Brazil, Portugal, the US, and Europe, implementing advanced ML pipelines, LLM-powered solutions, and real-time data systems. His recent focus includes GenAI, prompt engineering, and RAG, designing frameworks around OpenAI, LangChain, and multi-cloud environments. A strategic thinker and strong team leader, André excels in delivering scalable, secure, and production-ready data solutions.
André advises the tech department on aligning enterprise architecture with business strategy, particularly in energy and utilities. He leads cloud-native design, implements shared infrastructure, and drives compliance audits. He builds prompt frameworks for GPT-4 and Gemini, conducts LLM performance tuning, and implements CrewAI and LangChain-based agent strategies.
Prompt Engineering, RAG, CrewAI, LLMs (GPT-4, Gemini), Architecture
Led global ML/data projects for clients in Europe and North America. Delivered generative AI use cases, sensor analysis, computer vision, and sentiment analysis pipelines. Built ML pipelines using Databricks, Snowflake, Airflow, Spark, and integrated with cloud-native services.
LLM, RAG, Spark, Databricks, MLflow, LangChain, Snowflake, CV, NLP
Managed cross-functional engineering teams using AWS and Azure. Implemented real-time inference systems and Spark pipelines in multi-region Kafka clusters. Advocated Data Mesh principles and drove architectural improvements across cloud platforms.
AWS EMR, SageMaker, Azure Synapse, Databricks, Kafka, Python, Scala
Architected and implemented data pipelines and ML systems for on-prem and cloud migration. Led ingestion and transformation of massive datasets using PySpark, Redshift, MongoDB, and Athena.
Databricks, Spark, PySpark, MongoDB, Athena, S3, SQL Server
Led big data initiatives in telecom, designing Hadoop-based architecture. Developed ingestion workflows and data pipelines in Spark, Kafka, Hive, and Java/Scala.
Hadoop, Spark, Kafka, Hive, Java, Scala, PySpark
Delivered AI/ML solutions in retail, banking, and social media analytics. Worked on intelligent prosthetics and biomedical signal processing. Built web/mobile reporting tools for cloud data visualization.
Scikit-learn, Pandas, TensorFlow, Java, R, Scala, Firebase, AWS, GCP
Led AI and IoT project sales in Latin America. Focused on business expansion and smart device integration.
AI, Home Automation, IoT
Managed development of hospitality and SPA technology infrastructure in LATAM and North Africa.
ERP SAP (FI, CO, MM, PP, SD)
Built multimodal logistics and international trade solutions through cabotage integration.
Established nationwide sales and service network for cooling logistics systems.
Oversaw logistics and reverse supply chain across 160+ stores nationwide.
Trained and managed multidisciplinary tech teams in northeastern Brazil.
Randstad Argentina - 1 year 5 months
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