Navigating Tech and Life through AI, Automation, and Innovation.
Hello, I'm Daniele. I'm the Product Manager for AI-based Automated Diagnostics at the market leader Company in Telecom Service Assurance. I'm passionate about solving complex problems, building great products, and connecting with people.
With over 20 years of experience in security, intelligence, and telecommunications, I focus on the intersection of data and user experience.
I'm passionate about running, cycling, learning new languages, hacking and, above all, spending time with my family.
Senior Product Manager | AI Diagnostics & API Automation - Leading lead the global AI Diagnostics and API portfolio, driving strategy and GTM for Tier-1 operators across four continents. Delivered double-digit improvements in root cause analysis through advanced AI integration. Additionally, serving as Security Champion for SSDLC compliance and lead SAFe Agile transformation to streamline enterprise-wide delivery and time-to-market.
Product Manager of a deep learning-based Fusion Center platform designed for real-time
situational
awareness. Integrating location data, radar inputs, and geo-tagged multimedia from hundreds of
thousands of
sources to deliver a comprehensive, unified view of regional security status, supporting
critical
operations in defense and public safety domains.
Product Manager of the leader Law Enforcement Monitoring Facility product, serving 20+
countries worldwide
in their mission to elevate the public safety to a higher standard.
Engineering Manager of the company’s cross-functional AI team, leading the development
and deployment
of machine learning solutions across multiple business areas.
Engineering Team Manager for the successful implementation of an Avaya Aura Contact
Center recording system,
enabling secure, high-quality voice capture and compliance monitoring.
Led the development of a script analysis solution aimed at enhancing Contact Center performance
and customer
experience through intelligent quality assessment and optimization.
Medium
How telecommunications operators are evolving by transforming PCAP data from a simple troubleshooting tool into a foundational asset for artificial intelligence. By feeding these granular packet captures into machine learning models, providers can move beyond reactive maintenance and instead proactively optimize their infrastructure. This integration allows for the real-time detection of anomalies and the automated management of traffic spikes, ultimately leading to lower operational costs and a significantly more reliable experience for the end user.