Headline

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

About

I am a Data & AI Engineering lead with 12+ years of experience delivering enterprise-scale Data, ML, and AI solutions across banking, insurance, life sciences, and manufacturing in the US, UK, and Middle East. I specialise in taking AI solutions from prototype to production, designing secure, scalable, cloud-native systems and embedding them into real business workflows to deliver measurable impact. Combining deep hands-on engineering with a consulting mindset, I translate complex customer needs into production-ready AI systems, working closely with business, product, and cross-functional teams, with a focus on technical ownership, pragmatic execution, and reliable delivery at scale. My 7.5 years at McKinsey shaped a global, client-centric engineering mindset, enabling me to navigate ambiguity, solve complex problems, and deliver high-impact AI solutions across regulated environments. I drive technical direction and mentor engineers while remaining deeply hands-on across architecture, implementation, and production delivery.

Location

Bengaluru

AI stack

claude

kiro

langfuse

langgraph

mcp

OpenAI Agents SDK

Work experience

Sr. Vice President - Principal Engineer (ML&AI) - Fraud & Financial Crime at NatWest Group, Sep 2024 - Present · 2 y, Bengaluru, Karnataka, India, Lead hands-on ML and AI engineering for fraud and financial crime prevention across payment journeys and digital channels, delivering high-impact capabilities through real-time fraud detection, AI-powered investigation and decisioning automation, and scalable AI/MLOps. Design, build, and deploy fraud profiling ML models into production and pioneer multi-agent AI workflows to automate and scale fraud investigation and decisioning. Drive the technical development of next-generation AI-driven fraud intelligence platforms, while mentoring 20+ Data & AI specialists across India and the UK and enabling secure, compliant AI delivery at enterprise scale.

Jr. Principal Data Consultant at McKinsey & Company, Feb 2017 - Aug 2024 · 7 y 6 mo, Bengaluru, Karnataka, India, Data & AI Engineering expert with ~7.5 years at QuantumBlack, McKinsey & Company, delivering 10+ high-impact client engagements and contributing to 5+ reusable engineering assets. Progressed from Engineer to Expert through deep technical delivery and client-facing engineering leadership. - Designed, built, and deployed end-to-end Data and AI solutions for global clients across banking, insurance, life sciences, and manufacturing in the US, UK, APAC, and Middle East. Provided hands-on technical leadership across Data Product Engineering, AI transformation, DataOps, and MLOps, working closely with data scientists, ML engineers, data engineers, and business stakeholders. - Accelerated AI product development by building modular, reusable engineering assets that improved delivery speed by ~50%. Developed frameworks for data anonymisation, scalable data transformations, automated validation, and CI/CD to enable reliable deployment and operationalisation of Data and ML workflows. - Owned technical delivery across the AI lifecycle, from problem definition and solution architecture through implementation, production deployment, and optimisation, while collaborating with senior stakeholders and multidisciplinary teams across geographies. - Developed a strong client-centric and global engineering mindset, combining pragmatic problem-solving, technical depth, and agility to deliver high-impact AI solutions in complex enterprise environments.

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