Research
What I'm Exploring
Deep dives into AI, fintech, and emerging technologies. These are the areas where I'm actively learning, experimenting, and contributing.
Active Research Areas
LLM Applications in Financial Risk Management
Exploring how large language models can be applied to summarize complex risk exposures, generate regulatory narratives, and answer scenario-based questions in financial services using retrieval augmented generation (RAG) on controlled data sources.
ML-Powered Fraud Detection in Digital Payments
Research on real-time fraud and credit risk models embedded in payment APIs, focusing on threshold tuning, decision rules optimization, and balancing authorization rates with chargeback reduction in high-volume environments.
Quantum Computing Education Accessibility
Developing frameworks and curricula for making quantum computing education accessible in emerging economies, with focus on practical applications and partnerships with educational institutions.
Responsible AI in Financial Services
Investigating best practices for deploying AI systems in regulated financial environments, including explainability requirements, bias detection, and maintaining compliance with evolving regulations.
Past Research
Completed explorations and findings
Digital Financial Inclusion in South Asia
Studying the impact of digital wallet adoption on financial inclusion, focusing on KYC optimization, user experience for first-time digital users, and merchant ecosystem development.
General Interests
Areas I follow and explore casually
Interested in Collaboration?
I'm always open to discussing research ideas, potential collaborations, or just geeking out about AI and fintech.
Get in Touch