Sanjay Jain — Founder

From "The GenAI Divide - STATE OF AI IN BUSINESS 2025" report: - "Tools like ChatGPT and Copilot are widely adopted. Over 80 percent of organizations have explored or piloted them, and nearly 40 percent report deployment. But these tools primarily enhance individual productivity, not P&L performance. Meanwhile, enterprise- grade systems, custom or vendor-sold, are being quietly rejected. Sixty percent of organizations evaluated such tools, but only 20 percent reached pilot stage and just 5 percent reached production. Most fail due to brittle workflows, lack of contextual learning, and misalignment with day-to-day operations." - "The core barrier to scaling is not infrastructure, regulation, or talent. It is learning. Most GenAI systems do not retain feedback, adapt to context, or improve over time." Currently working to enable robust AI adoption. Recently worked on projects related to AI security and compliance, health-tech, and supporting private transactions on public blockchains using Zero Knowledge Proofs. At i2Chain, as Co-founder & CTO, built a system that allows enterprise users to securely share sensitive files among themselves, and externally with clients, partners and suppliers. The i2Chain platform combined cryptography, access rights, and immutable traceability of the actions performed on sensitive documents, effectively creating a secure "supply chain for information". At Trust Science, defined and designed a self-sovereign identity and blockchain based platform (Troo.io) that facilitates transactions between service providers and consumers through the addition of a "Trust Score". Developed Troo.io technical white paper that describes Troo.io design and architecture, consisting of multiple components such as a blockchain network, a decentralized identifiers infrastructure, a data exchange and ownership management system, an AI/ML based trust score computation engine, and a distributed data store. Before at Microsoft, VMware, Yahoo!, Openwave, and VoiceBox, built: - A multi-tenanted cloud platform to host conversational NLP applications (i.e. chatbots). - Identity & Access Management system for a public/hybrid cloud. - LDAP/X.500-based large scale distributed multi-master directory services. - Friends recommendation system for a social network with ~600M users. Interests: - Build reliable AI based systems (applications and infrastructure), e.g. using distributed computing principles such as redundancy, fault tolerance, and isolation; while dealing with unreliable components. - Decentralized architectures and applications.

Stackforce AI infers this person is a Fintech and SaaS architect with extensive experience in AI and security solutions.

Location: Sammamish, Washington, United States

Experience: 34 yrs 10 mos