<p>At Blue Orange I worked as a tech consultant and Machine Learning Engineer helping businesses develop end-to-end ML solutions. I would usually work as the lead Machine Learning Engineer in a project specific ransdisciplinary team. These range across different industries and client needs from helping venture capital firms optimize their investment portfolio to leveraging Large Language Model powered solutions for media content providers, among other use cases.</p>

Machine Learning Engineer

<p>, I worked as the lead Machine Learning Engineer in project-specific transdisciplinary teams. I was responsible for developing automatic information retrieval systems for legal documents by ensembling NLP algorithms for tasks like question answering, named entity recognition, and relation extraction. I was also a consultant and developer at CEMEX, where I worked defining and developing their MLOps infrastructure to ensure the functioning and monitoring of their machine learning models.</p>

 Machine Learning Engineer

<ul><li>Developing and implementing generative AI algorithms.</li><li>Quality assurance to ensure model accuracy and reliability.</li><li>Data cleaning and preprocessing for machine learning models.</li><li>Leveraging computer science principles in algorithm development and optimization.</li><li>Code review and validation to maintain high-quality standards.</li><li>Effective communication of complex technical concepts.</li><li>Proficiency in utilizing Amazon Web Services (AWS) for model deployment and scalability.</li></ul>

Data Scientist - Machine Learning Engineer

<ul><li>Development of Shiny R applications for interactive data visualization and analysis.</li><li>Portfolio analysis and simulation using statistical tools and techniques.</li><li>Creating credit risk scoring models using R and Python, incorporating various data sources and machine learning methodologies.</li><li>Leveraging R and Python for statistical analysis, predictive modeling, and algorithm development in credit risk assessment.</li><li>Collaborating with teams to implement and optimize credit risk models for improved accuracy and reliability.</li><li>Conducting thorough evaluations and validations of models to ensure robustness and effectiveness in real-world scenarios.</li></ul>

Personal details

Alfredo L.

Summary

Technical skills

Work Experience

Education

Certifications & Awards