* Design and implementation of ML pipelines in novel (adversarial) training methods for deep networks (ResNet varieties) in image classification. * Optimization of image processing pipelines using Nvidia Dali, significantly reducing time preprocessing and efficiently using GPUs resources.

* Development of an open-source training and evaluation package in Python for open-set classification using standard libraries (Pandas, Numpy, Scikit-learn, SciPy) and Pytorch.

* Gathering data from various sources such as ODBC, APIs, and websites, and creating data models and visualizations in Power BI to track KPIs and ensure SLAs are met. * Perform SLA GAP analysis, KPI and SLO of standard offers (LAN, WLAN, MRS, AVPN) for customized requirements of key clients. * Coordination of multidisciplinary teams and stakeholders to implement customized SLA solutions for key AT&T clients.

* Implementation of data analysis pipelines for the evaluation of financial and technical risks of SLA solutions for key customer accounts in connectivity solutions

* Development of risk and financial impact models of customized SLA solutions based on technical architecture data and network performance, mainly through regressions, random forests and clustering algorithms such as DBScan.

* Construction of data models (DAX) and design of exhaustive dashboards (in PowerBI) for the visualization of critical business processes related to the technological infrastructure.