• Leads the design and implementation of enterprise-wide MLOps infrastructure, including model deployment pipelines, monitoring systems, and automated retraining workflows to ensure reliable AI/ML model operations at scale across banking functions (e.g., compliance, wealth management).• Establishes data architecture and solution frameworks to enable seamless integration of AI systems with existing banking infrastructure while ensuring compliance with financial regulations, data governance policies, and security requirements.• Drives standardization of ML engineering practices, including setting up CI/CD pipelines for ML models, implementing model versioning, establishing testing protocols, and creating reusable components to accelerate AI adoption across different business units within the bank

Leading a team to drive strategic digital transformation initiatives within country internal audit. To champion the causes of data analytics, automation and machine learning/AI in risk-based audit methodology to achieve better coverage ,higher confidence in audit findings, while increasing risk awareness among business auditees.

Architect and analyze big data to build data driven business insights and high impact data models to generate significant business value for Accenture or clientsDesign the models, algorithms, and visualizations that help companies distill insights from huge volumes of dataExamine and explore data from multiple disparate sources with the goal of discovering insights which in turn can provide competitive advantage for clientsInvolve in setting strategic direction to establish near term goals for area of responsibility. Interact with senior management levels and team members at client and/or within Accenture

Bringing AI tech innovation to APAC AML divisionDevelop and deploy machine learning models for AML Fast Track – Coordinating with Global Data Intelligence Team (European and North and South American) to ensure pilot phase goes smoothly and at the same time meet compliance standardsDeveloped text mining prototype (Natural Language Processing) methods to extract counterparties from analyst dispositionMonitoring and supervision of APAC AML transactions via analytics

Develop predictive models for threat analytics, use natural language processing for content analysis, research machine learning models for advanced applications. Develop malware database by webscraping, accessed throught REST API.

Involved in developing predictive models for retail loans. Exploring historical datasets to find patterns to understand behavior of prospective borrowers.Work closely with software engineer to deploy predictive models from R to Java.

Implemented computer vision based video surveillance system that tracks and detect human. Detection rateis 2 frames per second under non-busy environment with up to 80% accuracy.• Filed two World Intellectual Property Office (WIPO) patents (a) System to detect and verify object’s identityusing standalone RFID detectors (b) A wide view camera surveillance system to monitor controlled area forpresence or absence of activities• Led team of 3 developers to implement video surveillance system, developed testing frameworks, devisedtechniques to collect and manage video archives worthy of 7 days 24 hours.