Summary
Nikolay Prieto is an AI/ML engineer with nine years of experience designing serverless, cloud-native architectures on AWS to deploy scalable machine learning systems. He combines a Ph.D. background in mechatronics and robotics with hands-on expertise in backend development, MLOps, and feature engineering, having implemented ETL, model training, and serving pipelines with Glue, SageMaker, Lambda and CDK. His work spans healthcare audio analysis, predictive sales forecasting, and autonomous robotics, demonstrating an ability to translate research-grade models into production microservices. Nikolay has led ML operations and guided data science teams, optimizing infrastructure for cost-effective, high-throughput inference. Based in Bogotá, he thrives on leveraging serverless patterns to simplify complex AI workloads and continually integrates academic rigor into practical, production-ready solutions. An uncommon strength is his blend of prosthetics and robotics research with cloud ML deployment experience, enabling novel cross-disciplinary approaches to model design and system optimization.
9 years of coding experience
16 years of employment as a software developer
Doctor's Degree Mechatronics Robotics and Automation Engineering, Doctor's Degree Mechatronics Robotics and Automation Engineering at Universidad Nacional de Colombia
Master's degree Mechatronics Robotics and Automation Engineering, Master's degree Mechatronics Robotics and Automation Engineering at Universidad Militar Nueva Granada
Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering, Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering at Universidad de San Buenaventura
English, Spanish