Machine Learning Engineer · Data Scientist · Electronic Engineer 🇨🇴
I build production-grade machine learning systems, specializing in large-scale time-series forecasting, demand planning, price optimization, and MLOps. My experience spans data engineering, model development, evaluation, and deployment.
I've contributed to forecasting systems covering 45M+ store-item combinations, achieving a 35% relative reduction in forecasting error and a 3.48% increase in order fill rate.
I'm passionate about applied AI, mathematics, art, and building technology that solves real-world problems. I also enjoy sharing what I learn along the way.
📫 Get in touch: LinkedIn · Email
Languages: Python, SQL, C, MATLAB
Data Engineering & Cloud: Databricks, PySpark, Spark, BigQuery, dbt, Airflow, AWS, GCP
Machine Learning: scikit-learn, XGBoost, LightGBM, Prophet, MLForecast, StatsForecast, TensorFlow
MLOps & Engineering: MLflow, DVC, Great Expectations, Docker, FastAPI, Pytest, GitHub Actions
Data Analysis & Visualization: Pandas, NumPy, Seaborn, Plotly, Power BI