I work in telecom at an internet service provider. My background is in network and systems administration, with experience in Linux, databases, and security.
I’m also exploring AI and machine learning through my Time Series Forecasting Agent. It compares forecasting models and checks their results; Python does the calculations, while language models help explain them.
I’m building a tool to upload a dataset, compare forecasting models, and review the results in a web interface.
Example output from the project documentation, using the airline passengers dataset. View full-size chart
Comparing models and explaining results
Python computes forecasts and error metrics. Rolling backtests compare models against simple baselines; language models help explain the results and write reports.
I maintain and develop PySNMP as a member of the project team. My work includes new features, bug fixes, security improvements, and compatibility with current Python versions.