Insights & Research

YerraBlog

Exploring the intersection of financial technology, quantum computing, and artificial intelligence. Deep insights on distributed systems, post-trade automation, and secure market infrastructure.

Author Phaneendra Vayu Kumar Yerra

Research Talks & Presentations

Quantum-Inspired Reconciliation: Transforming Large-Scale Banking with QUBO Optimization

This paper proposes a quantum-resistant architecture for agentic LLM systems in e-commerce and FinTech, combining post-quantum cryptography, zero-trust access control, and dynamic risk governance to counter both AI security vulnerabilities and emerging quantum threats. Experiments across classical and quantum-inspired threat models confirmed significant reductions in attack success rates, stronger auditability, and stable performance under simulated quantum conditions. The results affirm that quantum-resistant, well-governed agentic LLM systems are not only practical but essential for the future of digital finance.

📅 Feb 2026⏱ 19:10

Shielding the Autonomous Future!

This research introduces a quantum-secure architecture specifically engineered for the agentic Large Language Model (LLM) workflows that are increasingly central to modern FinTech and e-commerce platforms.

📅 Feb 2026⏱ 17:10

Can High Speed Finance Be Green?

A research study presenting an energy-aware, cloud-native data mining framework that improves regulatory compliance accuracy, settlement analytics performance, and sustainability in large-scale financial markets.

📅 Jan 2026⏱ 15:30

Quantum AI: The Future of Real-Time Financial Risk & T+0 Settlement

This video explores how Quantum AI revolutionizes financial risk management by enabling real-time Basel III compliance and drastically reducing counterparty exposure in T+0 settlement cycles through an 80% reduction in risk calculation times.

📅 May 2025⏱ 18:20

GenAI-Driven Scenario Generation for Intraday Market Risk, Liquidity Stress Testing, and Portfolio Optimization

A research presentation demonstrating how generative AI enables high-fidelity intraday risk scenarios, early liquidity stress detection, and superior risk-adjusted portfolio optimization in modern financial markets.

📅 Jan 2024⏱ 25:10

Why Foreign Exchange Settlement Remains a Critical Bottleneck in Global Finance?

A research-driven perspective on why FX settlement has not kept pace with high-speed trading and real-time risk demands.

📅 Dec 2023⏱ 20:15

Secure Cloud-Native API Architectures for Modern Banking

This talk examines zero-trust principles, identity-centric security, and resilience patterns in banking API architectures.

📅 Aug 2022⏱ 17:40

Confidence Driven Human in the Loop RPA for Post Trade Capital Market Flows

Robotic Processing Automation in Post Trade Systems.

📅 Mar 2021⏱ 22:45

Publications (Peer-Reviewed)

https://doi.org/10.1109/SoutheastCon63549.2026.11476191
13
Quantum-Inspired Constrained Matching for Large-Scale Banking Reconciliation Under Tolerance and Many-to-Many Breaks

Quantum-Inspired Constrained Matching for Large-Scale Banking Reconciliation Under Tolerance and Many-to-Many Breaks

📅 Apr 2026📖 IEEE Xplore

This paper focuses on improving how banks reconcile large volumes of transactions that often contain small value differences and complex matching relationships. Instead of relying on traditional rule-based systems, the framework uses a quantum-inspired optimization approach to improve matching accuracy, reduce unmatched transactions, and significantly decrease manual review effort. The results show that this approach can provide a more scalable and efficient solution for real-world banking reconciliation operations.

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12
Quantum Resilient Secure Framework For Banking Reconcilations

Quantum-Resilient Secure Framework for Agentic LLM Workflows in E-Commerce and FinTech Systems

📅 Feb 2026📖 IEEE Xplore

This paper proposes a quantum-resistant architecture for agentic LLM systems in e-commerce and FinTech, combining post-quantum cryptography, zero-trust access control, and dynamic risk governance to counter both AI security vulnerabilities and emerging quantum threats. Experiments across classical and quantum-inspired threat models confirmed significant reductions in attack success rates, stronger auditability, and stable performance under simulated quantum conditions. The results affirm that quantum-resistant, well-governed agentic LLM systems are not only practical but essential for the future of digital finance.

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11
Data Mining Framework

Sustainable Data Mining Framework for Regulatory Compliance and Settlement Analytics in Global Financial Markets

📅 Jan 2026📖 IEEE Xplore

This paper introduces the Sustainable Data Mining Framework (SDMF), a cloud-native architecture that integrates big data processing, AI-driven anomaly detection, and energy-efficient computing to strengthen regulatory compliance and settlement analytics in global financial markets. Quantitative experiments benchmarking SDMF against conventional systems demonstrated statistically significant improvements across processing speed, energy consumption, and compliance accuracy. The findings establish that high computational performance and environmental sustainability are not mutually exclusive, offering a viable path toward greater regulatory transparency and ecological responsibility in modern financial data ecosystems.

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10
Cyber Security

Network-Aware BFT for Multi-Region Permissioned Ledgers Under Jitter, Loss, and Partitions

📅 Sep 2025📖 IJCNIS

Introduces a network-aware BFT consensus mechanism that adapts to wide-area network variability, improving stability, latency, and throughput in multi-region permissioned ledgers.

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09
Quantum Computing

Quantum AI for Intraday Basel Capital Adequacy & T+0 Settlement Risk

📅 May 2025📖 Journal of Information Systems Engineering

Exploring how quantum computing and AI can revolutionize real-time capital adequacy calculations and settlement risk management in modern banking systems.

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08
AI & Automation

Agentic AI Framework for Automating Legacy Core-Banking Operations

📅 Feb 2025📖 Journal of Information Systems Engineering

A comprehensive framework for deploying agentic AI to modernize legacy banking systems and streamline regulatory reporting pipelines.

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07
Cyber Security

Securing Agentic LLM Workflows in Financial Services: A Zero-Trust Control Plane Against Prompt Injection, Excessive Agency, and Data Poisoning

📅 Feb 2025📖 IJCNIS

Presents a zero-trust security control plane for agentic LLM systems in financial services, enforcing least-privilege execution, policy-constrained tooling, and retrieval integrity to mitigate prompt injection, tool misuse, data poisoning, and cost-based attacks with minimal operational overhead.

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06
Cybersecurity

Post-Quantum Regulatory Cybersecurity for Global Banking

📅 Dec 2024📖 Computer Fraud & Security

Addressing the regulatory and technical challenges of implementing post-quantum cryptography in global financial infrastructure.

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05
Market Data

Scalable Real-Time Market Data Processing Architecture

📅 Oct 2024📖 IJISAE

Designing and implementing high-throughput systems for multi-asset market data analytics in fund management environments.

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04
Risk Management

GenAI-Driven Scenario Generation for Intraday Market Risk

📅 Mar 2024📖 IJISAE

Leveraging generative AI for creating realistic stress-testing scenarios and portfolio optimization in real-time trading environments.

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03
Machine Learning

Forecasting FX Settlement Liquidity Requirements Using ML Models

📅 Dec 2023📖 IJRITCC

Statistical and machine learning approaches to predict foreign exchange settlement liquidity needs with improved accuracy.

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02
Cloud Security

Secure Cloud-Native API Architecture for Banking

📅 Aug 2022📖 IJCNIS

Integrating zero-trust controls and data-science-driven threat intelligence for modern banking API infrastructure.

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01
RPA

Confidence-Driven Human-in-the-Loop RPA Framework

📅 Mar 2021📖 Computer Fraud & Security

Automating corporate actions notice interpretation in post-trade operations while maintaining human oversight and control.

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