Vladimir P.

Network Software and ML Engineer

Network systems and machine learning professional, passionate about engineering challenges. I do care about client's work as if it was my own business. My professional interests include (but are not limited to): telecommunication engineering, mobile networks evolution and development, network software development, data science, machine learning Examples of areas, activities, technologies and tools I am experienced in: * Telecommunications - GSM/UMTS/LTE/5GNR - mmWave - RF planning and optimization - network software development - wireless R&D - MATLAB - system testing * Software engineering and machine learning - Python and R - Golang and C++ - Probability and statistics - Pandas, Numpy, Sklearn - Tensorflow, Keras, Pytorch, Fast.ai - Regressions, decision trees / random forests, gradient boostings (LGBM, XGBoost, Catboost), clustering, time series analysis, SVMs, bayesian methods - APIs, Flask, SQL and NoSQL (MongoDB) - GCP, AWS, Linode