This page contains some details about my professional background and interests.
Works on machine learning, applied mathematics, and related areas.
Deployed on Deta Space 
Development of predictive modeling with machine learning and statistics, using tools based-on Python and R. Also has experience with scientific research, lectures, and a pinch of Python dev with Flask, Django and Docker.
Has published scientific articles in specialized journals and received awards at conferences.
Development of real solution with machine learning models using clustering (k-Means, DBScan, Gaussian Mixture), time series (LSTM, GRU, GARCH), natural language processing (topic segmentation, chatbots, LLMs), computer vision (YOLO, Resnet, OpenCV), and others (SVM, RandomForest, XGboost).
Development of interactive graphs with frameworks based-on Java Script.
For more information, please send me a message.
