Krishna Ganeriwal is a distinguished software engineer driving innovation in privacy infrastructure, AI systems, and distributed computing. With a proven track record at Meta and Texas Instruments, Krishna has built backend systems that now power experiences for over 3 billion users daily, embedding fairness, compliance, and transparency into products at global scale.

At Meta, Krishna has been instrumental in architecting the Ads Privacy Infrastructure—designing systems for data lineage tracking, purpose enforcement, and fairness in machine learning delivery. His work has reduced compliance enforcement latency by over 60%, enabled automated privacy controls across 100+ data pipelines, and helped align Meta’s ad systems with evolving regulations like the GDPR and Digital Services Act. He also contributed to infrastructure ensuring fair ad distribution across sensitive demographics, reinforcing responsible AI principles.

Krishna’s technical foundation spans AI, Distributed Systems, and Computing at Scale, enabling him to tackle some of the industry’s most complex engineering challenges. His contributions include multiple patents and peer-reviewed publications, reflecting both depth and originality in his solutions.

Previously at Texas Instruments, he worked on predictive analytics and system software for low-power devices, optimizing performance for millions of embedded systems worldwide.

Beyond engineering delivery, Krishna is an active voice in the global tech community—judging international hackathons, mentoring rising engineers, and speaking at conferences like Conf42. He is also deeply involved in privacy-aware product development and is known for translating complex legal-compliance logic into scalable engineering systems.

Krishna’s journey is a compelling example of how principled, high-impact engineering can build systems that users trust—by design, not by accident. His ability to merge deep technical insight with global product thinking continues to shape the future of responsible technology.