Over 25 years of leadership in AI governance, product management, and technological innovation.
Accomplished product executive with over 25 years of experience leading cross-functional teams to develop and scale cloud-based solutions, including SaaS and network management platforms. Demonstrated expertise in driving product innovation, market expansion, and customer growth through strategic vision execution.
Skilled in managing full product lifecycles, leveraging AI/ML automation, and optimizing enterprise networks for global deployments. A dynamic leader passionate about building high-performing teams, fostering a culture of innovation, and delivering transformative solutions.
Known for successfully aligning product strategies with organizational goals, ensuring technology leadership, and driving cross-functional collaboration to deliver high-quality products on time and within budget.
Proven track record of leadership and innovation across multiple organizations.
With a deep understanding of complex regulatory landscapes, such as the EU AI Act and GDPR, I navigate organizations through responsible AI development and deployment challenges.
Pioneered TDPP, Ericsson's flagship AI/ML platform, delivering secure data capabilities through blockchain integration. This visionary platform empowers developers across Core Data, O-RAN (xApps & rApps), 5G Network slicing, healthcare, and government sectors.
Comprehensive skillset spanning product management, technology leadership, and AI innovation.
Continuous learning and professional development in technology, law, and AI ethics.
Innovations in AI, blockchain technology, cybersecurity, and telecommunications.
WO2023151829A1
Creates a secure trusted data layer for AI/ML applications using blockchain technology, enabling data integrity verification and trusted model training.
17/878,592
Innovative system leveraging blockchain to detect and mitigate distributed denial-of-service attacks through immutable audit trails and smart contracts.
PCT/109625WO01
Method for optimizing network configurations through AI-generated parameter recommendations, improving performance for telecommunications infrastructure.
US 63/440463
System for detecting and preventing cyberthreats in IoT ecosystems using blockchain-based validation and threat intelligence sharing.
P104537
Framework combining intent-based networking with deep packet inspection for enhanced threat detection in encrypted network traffic.
US 8744963
Process and method for conducting secure electronic transactions using wireless and cellular devices, enabling mobile commerce solutions.
US 8385897
System for cross-platform, globally accessible text messaging that overcomes carrier and geographic limitations for communication.
US 17293809
Advanced personal security alert system providing emergency notifications and location tracking for individual safety applications.
US 7603311
Innovative process and device for conducting electronic transactions with enhanced security features, passed re-examination.
Research and thought leadership in AI governance, technology, and innovation.
Forbes
An exploration of the critical role CEOs must play in establishing and maintaining ethical AI governance frameworks as we approach 2025.
Read ArticleIoT Consortium, November 2023
A comprehensive analysis of how generative AI, 5G network slicing, and blockchain technologies can be integrated to create more secure, efficient, and innovative next-generation network solutions.
View PublicationEricsson Blog, 2023
An in-depth comparison of artificial intelligence capabilities and human cognition, exploring the complementary nature of both and how they can work together to solve complex problems.
Read ArticleIoT Consortium, March 2022
A technical paper examining how machine learning can be employed to identify and mitigate DDoS attacks originating from compromised IoT devices or insider threats, with practical implementation strategies.
View PublicationInternational Conference on IP/IoT & Processing + Optical Network (iPOP2022)
A research paper presenting a novel approach to network management through the integration of artificial intelligence and intent-based networking principles, demonstrating enhanced efficiency and reliability.
Read PaperRecognition for leadership and contribution to technology and innovation.
TechWomen is an initiative of the U.S. Department of State’s Bureau of Educational and Cultural Affairs (ECA). It is managed by the Center for Women’s Leadership Initiatives at the Institute of International Education ® (IIE)
2025
Learn More2023
2022
Read into the Congressional Record by Rep. Garamendi for Leadership in and Contribution to AI & Blockchain
Read More2019 & 2020
2021
University of California, Merced Gallo Graduate School
IEEE & President Obama White House for UC Merced, Mobile Innovation Challenge
Silicon Valley Business Journal
2019
For AI Innovation Leadership
Current
GEN AI Working Group & Technical Advisory Board (NIST), Voting Technical Board Member (Linux Foundation), Investment Advisor (Astia)
Interested in discussing AI governance, ethical technology implementation, or potential collaborations? I'm always open to connecting with fellow professionals and organizations committed to responsible innovation.
Get in Touch