Pedro Henrique Narloch

WORK HISTORY

EDUCATION

SKILLS

ABOUT PEDRO HENRIQUE NARLOCH

Hello, I\'m Pedro H. Narloch, a Machine Learning Engineer with a Ph.D. in Computer Science and extensive experience in time series forecasting, model ensembling, and MLOps. Currently, I work at Paretos (Germany), where I focus on building scalable, high-impact ML solutions that enhance forecasting accuracy and operational efficiency. Key Expertise:Time Series Forecasting: Developing advanced ensemble techniques and optimizing model pipelines to deliver robust predictions.AutoML & Experimentation: Designing automated frameworks for hyperparameter optimization and scalable model iteration.MLOps: Implementing basic pipelines for experiment tracking and model management to ensure reliable and reproducible results.Algorithm Optimization: Leveraging metaheuristics and bio-inspired algorithms for solving complex computational problems. Research & Academic Background:My academic journey is deeply rooted in Structural Biology and Bioinformatics, where I developed bio-inspired algorithms (metaheuristics) for Protein Structure Prediction and Molecular Docking. I have several peer-reviewed publications involving bio-inspired algorithms applied to biological structure problems and machine learning. You can find the full list of my research papers on Google Scholar: https://scholar.google.com/citations?hl=pt-BR & & view_op=list_works & sortby=pubdate Professional Experience:Prior to my ML career, I gained hands-on experience as a Java Web Developer at TOTVS and as a Systems Analyst at Gesplan, working with Java and C++. Additionally, I served as a University Professor at two prominent Brazilian universities, UFRGS and UNICURITIBA, where I shared my passion for computer science and machine learning.