I'm an Electronic Engineer with experience in Data Science, Machine Learning, Applied AI, and Technical Presales. My focus is on connecting data and technology with real business needs.
My technical experience includes data preparation, ETL, exploratory data analysis, feature engineering, and machine learning model training and evaluation using Python, Pandas, scikit-learn, XGBoost, and LightGBM.
I've contributed to the evolution of a production enterprise multi-agent AI platform on Microsoft Azure, working on requirements definition, technical validation, conversational memory, model evaluation, and cost optimization. Internal testing demonstrated a 92.9% reduction in historical context, while a model-routing benchmark estimated approximately 64% lower costs for that specific task.
I also executed and presented an AWS-based video surveillance AI proof of concept, achieving p95 latency below 10 seconds in the measured processing stage.
My computer vision research involved training and evaluating CNN architectures for biomedical image segmentation, achieving up to 97.54% IoU.
Beyond technical work, I've led client discovery sessions, developed solution proposals, prepared architecture diagrams and cost estimates, and translated business requirements into practical AI use cases.
I'm an AWS Certified Machine Learning Engineer – Associate and AWS Certified AI Practitioner.
I'm seeking remote opportunities in Data Science, Machine Learning, AI Engineering, and Technical Presales / AI Solutions Consulting, including roles open to professionals based in Colombia.
