Headline

ML & AI Lead @ NatWest Group | ex-McKinsey & Company | ex-Quantumblack | AI/ML Transformations & Intelligent Automations | Fraud & Risk | AI-Powered Engineering & SDLC Automations | FinTech | AWS | Databricks

About

I am a Data & AI leader with 12+ years of experience delivering enterprise-scale Data, Machine Learning, and AI transformations across banking, insurance, healthcare, and manufacturing in the US, UK, and Middle East. I specialize in taking AI solutions from strategy to production—designing secure, scalable, cloud-native systems and embedding them into real business workflows to drive measurable impact. Operating at the intersection of AI strategy and enterprise transformation, combines deep hands-on engineering with a consulting mindset to rapidly translate customer needs into production AI systems, lead cross-functional teams, and drive successful enterprise AI adoption. I partner with senior business and technical leaders to define AI roadmaps, design target-state architectures, and build production-grade platforms. My focus centers on cutting-edge AI/ML engineering, strong stakeholder alignment, clear ownership, and reliable delivery, enabling organizations to confidently scale AI across the business. Additionally, I thrive on building and mentoring high-performing engineering teams, creating meaningful impact through technology, collaboration, and continuous learning. My 7.5 years at McKinsey deeply instilled a global mindset focused on agility, strategic growth, and client-centricity, most importantly, it taught me that successful execution is always human-driven.

Location

Bengaluru

AI stack

antigravity

opencode

Work experience

Sr. Vice President - ML & AI Lead - Fraud & Financial Crime at NatWest Group, Sep 2024 - Present · 2 yrs, Bengaluru, Leading fraud and financial crime prevention across payment journeys and digital channels, delivering high impact through real-time fraud detection, AI-powered fraud investigation and decisioning automation, and scalable MLOps. I build and deploy fraud profiling models into production, pioneer AI agents to enhance fraud investigation and decisioning for efficient and scalable operations, lead the development of next-generation AI-driven fraud intelligence platforms. Additionally, I lead and mentor a global team of 20+ data & AI specialists across UK & India, scaling secure, compliant AI capabilities across the enterprise.

Jr. Principal Data Consultant, QB at McKinsey & Company, Jun 2022 - Aug 2024 · 2 yrs 3 mos, Bengaluru, Data & AI expert with ~7.5 years of experience at QuantumBlack, McKinsey & Company. Led 10+ high-impact client engagements and contributed to 5+ asset developments. Progressed from an Engineer to an Expert. - Led end-to-end delivery of data and AI solutions for global clients across banking, insurance, life sciences, and manufacturing in the US, UK, APAC and Middle East regions. Provided hands-on technical leadership across Data Product Engineering, AI transformation programmes, DataOps, and MLOps, collaborating with cross-functional teams of data scientists, ML engineers, data engineers, translators, and business stakeholders across multiple geographies in client-facing leadership roles. - Accelerated AI product development by designing modular, reusable code assets that improved delivery speed by ~50%. Built frameworks for data anonymisation, scalable data transformations, automated validation pipelines, and CI/CD templates to enable reliable deployment and operationalisation of data and ML workflows. - Led technical delivery and stakeholder management, including scoping initiatives, defining architecture and execution plans, managing timelines, aligning senior stakeholders, and ensuring high-quality end-to-end delivery. - My 7.5 years at McKinsey deeply instilled a global mindset focused on agility, strategic growth, and client-centricity. Most importantly, it taught me that successful execution is always human-driven.

Senior Data Consultant, QB at McKinsey & Company, Jun 2020 - May 2022 · 2 yrs, Gurugram, Haryana, India

Data Consultant, QB at McKinsey & Company, Jun 2018 - May 2020 · 2 yrs, Gurugram, Haryana, India

Product Engineer - Retail Analytics Platform at Ugam, Aug 2015 - Jan 2017 · 1 yr 6 mos, Bangalore, India, As part of the data product team, contributed significantly to development of large scale retail product and pricing intelligence platform to serve retail & consumer clients with better pricing decisions, margin optimizations and category management. - Contributed to platform features like product match and recommendation engine, taxonomy traversal, etc. Gained good experience in handling huge datasets through distributed streaming systems like Storm, Kafka, GraphDB, Elasticsearch,etc. - Developed scalable applications and utilities using map-reduce programming, java multithreading, dynamic configuration loading concepts. Worked in a an agile product team, acquired good knowledge of agile methodologies for software development lifecycle management.

Associate Software Engineer at Torry Harris Business Solutions, Jul 2013 - Jul 2015 · 2 yrs 1 mo, Bangalore, India, Served in the centre of excellence (COE) as a Big Data Engineer, responsible for exploring cutting edge big data technologies like Hadoop, Hive, Spark, etc to enhance firm’s capabilities and service offerings in the data domain. - As part of product initiative developed large scale log monitoring/ IOT data processing capabilities using technologies such as Hadoop, Pig, Hive, etc for a telecom client. Gathered requirements and performed gap analysis through design workshops with users. - Additionally contributed to a NLP based Text mining application.

Education

Bachelor of Engineering (B.E.), Information Technology, Visvesvaraya Technological University

Public links

github: https://github.com/xundan91