05/08/2026 updated
verified
Premium member
60 % partially availableSr. AI Solutions Architect
São Paulo, Brazil BA Computer Science
About me
Staff ML Engineer, 8+ years. Builds production AI systems end-to-end: GenAI/LLM pipelines, MLOps platforms, recommendation systems. Python, PyTorch, TensorFlow, AWS, GCP. Leads teams, ships reliable ML at scale, and makes AI trustworthy.
Artificial IntelligenceComputer VisionBig DataDevOpsDistributed SystemsPython (Programming Language)Machine LearningNatural Language ProcessingTensorFlowPyTorchDeep LearningGenerative AIPySparkScikit LearnMachine Learning Operations
Machine Learning & AI Systems
Advanced expertise in developing and deploying ML models using TensorFlow, PyTorch, and scikit-learn across cloud platforms with focus on production-grade systems and MLOps implementation
Cloud Architecture & DevOps
Comprehensive experience with AWS services, GCP, and cloud-native solutions including containerization with Docker, Kubernetes orchestration, and CI/CD pipeline development
Data Engineering & Analytics
Proficient in building scalable data pipelines using PySpark, implementing real-time processing systems, and developing recommendation engines with vector databases
Programming Languages
Expert-level proficiency in Python, SQL, Scala, JavaScript, Vue.js, and Rust for diverse application development
Deep Learning Frameworks
Hands-on experience with TensorFlow, PyTorch, and specialized libraries for computer vision and NLP applications
Natural Language Processing
Advanced skills in developing NLP models, question-answering systems, and text classification using modern transformer architectures
Computer Vision
Expertise in image segmentation, satellite imagery analysis, and CNN model development for visual recognition tasks
MLOps & Model Management
Comprehensive knowledge of model deployment, monitoring, versioning, and automated ML pipeline creation
Big Data Technologies
Experience with distributed computing frameworks and large-scale data processing systems
Advanced expertise in developing and deploying ML models using TensorFlow, PyTorch, and scikit-learn across cloud platforms with focus on production-grade systems and MLOps implementation
Cloud Architecture & DevOps
Comprehensive experience with AWS services, GCP, and cloud-native solutions including containerization with Docker, Kubernetes orchestration, and CI/CD pipeline development
Data Engineering & Analytics
Proficient in building scalable data pipelines using PySpark, implementing real-time processing systems, and developing recommendation engines with vector databases
Programming Languages
Expert-level proficiency in Python, SQL, Scala, JavaScript, Vue.js, and Rust for diverse application development
Deep Learning Frameworks
Hands-on experience with TensorFlow, PyTorch, and specialized libraries for computer vision and NLP applications
Natural Language Processing
Advanced skills in developing NLP models, question-answering systems, and text classification using modern transformer architectures
Computer Vision
Expertise in image segmentation, satellite imagery analysis, and CNN model development for visual recognition tasks
MLOps & Model Management
Comprehensive knowledge of model deployment, monitoring, versioning, and automated ML pipeline creation
Big Data Technologies
Experience with distributed computing frameworks and large-scale data processing systems
Languages
EnglishFluentPortugueseNative speakerSpanishNative speaker
Project history
Leading ML architecture initiatives including PyTorch Lightning production systems, NLP model deployment, MLOps platform development, and generative AI solutions for various clients
Led benchmarking for internal RAG system optimization and developed multi-device Generative AI solution for customer service enhancement
Built data engineering pipelines with PySpark and implemented ML model monitoring for production systems