Joined ID Privacy, Inc. as Chief AI and Data Officer, leading architecture and development of a multi-tenant agentic AI platform on GCP/Kubernetes for enterprise AI orchestration and intent-driven analytics.
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Shaoor Munir
ID Privacy, Inc.
I earned my PhD studying how the web tracks people, and now I build AI systems that reach and serve customers without compromising their privacy.
I build AI systems that help businesses reach and serve customers while respecting their privacy. As Chief AI and Data Officer at ID Privacy, Inc., I lead the design of an AI platform that handles real-time voice, SMS, and email conversations, figures out which website visitors are likely customers, and turns that into actionable analytics. This work builds directly on my Ph.D. in Computer Science at UC Davis, where I used machine learning and large-scale data analysis to study and improve online privacy.
In Production
Building AI in Production
As Chief AI and Data Officer at ID Privacy, Inc., I lead the design of an agentic AI platform that runs real-time voice, SMS, and email conversations — turning the privacy and machine-learning research from my Ph.D. into production systems.
73%
Appointment booking rate
Achieved across 10,000+ customer interactions handled by the agentic AI platform.
70%
Conversion rate
Delivered through multi-channel voice, SMS, and email AI orchestration at production scale.
45,000+
Topics in the intent pipeline
Privacy-conscious commercial-intent data collection, built on my published web-tracking research.
Latest
Recent Updates
Completed my Ph.D. in Computer Science at UC Davis.
Keystroke wiretapping research featured in Newsweek discussing Google Chrome's market dominance. Research also covered by DataSkeptic podcast on CookieGraph.
View CoverageKeystroke tracking research reached Hacker News front page. Released arXiv pre-print on JavaScript keystroke event listeners and wiretapping law.
View PaperResearch
Recent Publications
Shaoor Munir, Nurullah Demir, Qian Li et al.
TL;DR:38.52% of top websites install third-party keystroke listeners. We connect this invasive tracking to U.S. wiretapping laws.
Yash Vekaria, Yohan Beugin, Shaoor Munir et al.
TL;DR:Comprehensive systematization of web tracking research: techniques, defenses, and regulations shaping the evolving privacy landscape.
Yash Vekaria, Benjamin Standaert, Max Ostapenko et al.
TL;DR:Annual comprehensive analysis of privacy on the web: tracking prevalence, evasion techniques, browser policies, and regulatory compliance.
Focus Areas
Research Interests
Let's work together
Open to industry partnerships, AI advisory work, and speaking engagements on production agentic AI and applied machine learning.
Also collaborating with researchers on web privacy measurement and LLM text attribution.