Preparing Enterprise Systems for the Post-Quantum Era: The Engineering Approach of Dhyey Thakore

The transition to post-quantum security is emerging as a major challenge for governments, financial institutions and technology companies. Cryptographic dependencies are often distributed across source code, software libraries, databases and cloud platforms, making them difficult to identify and replace. Against this backdrop, the work of Indian AI engineer Dhyey Thakore stands out for connecting agentic artificial intelligence with cryptographic discovery and structured post-quantum migration.

Thakore’s career has developed across financial technology, distributed systems, production artificial intelligence and cybersecurity. His experience includes regulated financial infrastructure at Goldman Sachs, transaction and card systems at Jupiter Money, AI services at Krutrim AI and the development of an agentic post-quantum migration platform at Quantum Vision Holdings.

Building dependable financial systems

At Goldman Sachs, Thakore developed backend services connected with United States Federal Reserve regulatory requirements. He also implemented an in-memory caching solution that reduced application latency by approximately 60 percent.

He later joined Jupiter Money, where he worked on credit-card and loan-transaction infrastructure. One of his key contributions was developing a reconciliation platform that compared transactions across multiple financial systems to identify discrepancies and possible money leakage.

He also created a framework for managing distributed reconciliation workloads using Kubernetes CronJobs. His responsibilities extended to card-management systems, transaction controls, partner-bank integrations and technical implementation supporting PCI-DSS certification.

This work required more than developing individual features. It involved understanding how information moved between interconnected systems, identifying where inconsistencies could affect financial operations and building dependable infrastructure for regulated environments.

Moving into production artificial intelligence

Thakore subsequently joined Krutrim AI, where he worked on backend systems supporting conversational AI workloads for Krutrim AI Chat. He also led the development of an OCR extraction platform offered as a cloud service, contributing from its architecture and initial implementation through to production product capabilities.

During a later period of independent AI engineering and applied research, he worked on language-model applications, retrieval-augmented generation, model fine-tuning and agentic workflows. His projects explored how AI agents could interact with documents, databases, APIs and workplace tools while maintaining context across multi-step tasks.

Thakore has also developed Email Clutter, a reusable AI skill designed to analyse email history and group unwanted subscriptions, promotional messages and recurring notifications. The tool keeps users in control by asking what should be deleted, archived or retained, while applying safeguards to potentially useful records. Made available through GitHub, the project reflects his interest in building practical agentic tools that can support different AI assistant environments and repeat or scheduled workflows.

Applying AI to post-quantum migration

Thakore is currently working as an AI engineer with Quantum Vision Holdings, where he is building an agentic platform intended to help organisations identify cryptographic dependencies and prepare for post-quantum migration.

The platform is being developed to analyse source-code repositories, software dependencies and cloud environments across services such as Amazon Web Services, Google Cloud Platform and Microsoft Azure. Its objective is to bring cryptographic findings from different systems into a unified inventory.

The platform combines cryptographic discovery with an AI memory and knowledge system spanning vector, relational and graph databases. Its architecture supports entity extraction, relationship creation, semantic and episodic memory, ranking, deduplication and temporal knowledge representation.

These capabilities are intended to help AI agents retain contextual information and understand connections between applications, infrastructure and cryptographic dependencies. This is particularly relevant in large organisations where one dependency may affect several systems and business functions.

The platform is also being designed to connect technical findings with post-quantum standards and guidance from authorities in different jurisdictions. Instead of producing only a list of cryptographic issues, the objective is to support prioritised migration recommendations based on an organisation’s systems, dependencies and applicable security requirements.

The potential of agentic cybersecurity

Many organisations do not have a complete inventory of the cryptographic technologies operating within their environments. This makes crypto-agility increasingly important. Crypto-agility refers to an organisation’s ability to identify, manage and replace cryptographic methods as standards and security requirements change.

Preparing for post-quantum security can provide value even before quantum computers become capable of threatening widely used encryption. It can help organisations improve visibility across existing systems, strengthen cryptographic governance and create a structured process for future security transitions.

Artificial intelligence has the potential to make this work more manageable. Agentic systems could help security teams bring together information from different technical sources, connect vulnerabilities with affected applications and prioritise remediation. Human specialists would remain responsible for important decisions, while AI could reduce the manual effort required to analyse complex environments.

Thakore’s background provides a practical foundation for this work. Financial technology taught him the importance of reliability and regulatory accountability. Production AI introduced the challenges of building scalable intelligent services. His current work brings these areas together in the emerging field of post-quantum migration.

The United Kingdom, with its strengths in artificial intelligence, cybersecurity, financial technology and research, is well positioned to contribute to this transition. Collaboration between engineers, businesses, researchers and security organisations will become increasingly important as post-quantum standards move towards practical implementation.

As the industry prepares for more capable AI and a post-quantum future, engineers who can connect these fields will have an important role. Thakore’s progression from financial infrastructure to production AI and post-quantum cybersecurity demonstrates how that expertise is beginning to take shape.