As a software and machine learning engineer with 15 years of experience, I specialize in MLOps and designing scalable solutions. With a passion for problem-solving, I'm dedicated to overcoming technical challenges and ensuring smooth production. As an adventurer with a global perspective, I've lived in eight countries and traveled to 36, gaining valuable insights and a unique appreciation for diverse cultures.
Passionate about family, nature, and animals. Committed to lifelong learning, social responsibility, and embracing a global mindset. Enjoys traveling, hiking, electric longboarding, and 3D printing.
Experienced in ML Ops engineering, AI, software development, and project management, with a Bachelor's degree in Computer Science and Engineering, an MBA, and various certifications in Machine Learning, DevOps, and IoT. Fluent in English and Spanish with a basic understanding of Danish. Worked as an MLOps Engineer for TDC Net in Denmark and as an AI Specialist for Republica. Also served as a Senior Software Engineer for Kairos in Chile and a Principal Consultant in Software Factory for Talaman.
Kubernetes, Kubeflow, BentoML, LangChain, Grafana, Tensorflow, PyTorch, IoT, Python, React Native, and using Terraform and YAML for IaC and automation.
I'm skilled in DevOps, MLOps and LLMOps, Kubeflow, Kubernetes, Docker, Grafana, Vertex AI, Azure, AWS, Databricks, Snowflake, kfp, MLFlow, Tensorflow, PyTorch, JavaScript, Python, React, React Native, C#, SQL, YAML, Terraform and Terragrunt, BI, microservices architecture, and more.
Developing and implementing ML pipelines, model APIs and data drift monitoring, Kubeflow, Kubernetes, MLflow, Argo, Terraform, and MLOps practices for the Advanced Analytics and AI team. Building CI/CD/CT pipelines to streamline deployment. Creating APIs, microservices, and apps to capture and label data. Ensuring the scalability and reliability of data science solutions through robust MLOps methodologies.
Designing AI solutions to automate business processes and architect microservice systems. Developing mechanisms to capture data, train and retrain ML models based in monitoring, prototyping and developing full-stack applications, implementing DevOps with CI/CD and queue systems.
As the lead software architect and advisor, designed strategic plans for product enhancement and achievement.
Customizing techniques and processes to meet customers' requirements and ensure successful implementation. Possessing strong team formation and people management skills. Designing creative solutions for complex technical needs.
Scaling multinational systems across diverse technologies and developing using SOA architecture.
Assembling computers and providing technical support.