Senior Engineering Manager with 20+ years’ experience in BFS, specialising in GenAI, MLOps, and cloud-native platforms. Led end-to-end AI/ML platforms, large-scale cloud migrations, and global engineering teams across various geography.
Overview
21
21
years of professional experience
9
9
Certificate
Work History
Snr. Engineering LT, MLOps, Agentic AI & MLOps
CBA
01.2020 - Current
Built and grew AI engineering teams (25+ engineers) over multiple years, personally hiring, mentoring, and coaching engineers while creating an environment of high trust, ownership, and sustained innovation.
A hands-on Senior Engineering Manager with 20+ years in Banking, combining deep domain knowledge with active involvement in design decisions, architecture reviews, and production problem-solving across AI platforms.
Delivered real-world GenAI and Agentic AI systems into production, including RAG-based solutions and orchestrated agent workflows, taking ideas from early experimentation through to reliable, scalable, and governed enterprise deployments.
Shape AI technology strategy and architecture: Provide technical leadership on complex, data-intensive AI systems, ensuring scalability, performance, reliability, and long-term success in financial services.
Managed and evolved an end-to-end MLOps platform within the Chief Data Office, overseeing model management, development, training, real-time deployment, and continuous monitoring for critical banking decisioning systems.
Instrumental in defining the roadmap and strategy for platform capabilities and engineering excellence, driving FinOPS and Innovation programs to optimize cost, reliability, and availability across distributed systems.
Championed and implemented DevSecOps maturity, integrating static and dynamic analysis tools (Snyk, Sonar, Checkmarx) into automated CI/CD pipelines (GitHub Actions, Terraform) to 'shift left' on security and quality.
Guided engineers in building scalable solutions, ensuring adherence to the 6 pillars of the AWS Well-Architected Framework (Security, Reliability, Performance Efficiency, Cost Optimization, Operational Excellence).
Led multiple initiatives in AI Acceleration squad, providing tooling and platforms for cutting-edge AI solutions, including LLM-based cognitive search (RAG) for HR systems and developing Digital Human solutions.
Managed the end-to-end transformation of complex Tier-1 PEGA applications from on-premise to AWS cloud, adhering to Agile methodologies.
Oversaw platform and infrastructure setup, managing DevOps suite for automated server builds and deployments, significantly reducing deployment cycles from weekly to daily.
Managed an operations team supporting 1000+ users and 150+ developers/testers, ensuring platform stability, infrastructure reliability, and rapid issue resolution.
Built and led a 24x7 L2 & L3 Platform & Technical support team for Westpac Live (online banking), focusing on development, technical guidance, outage coordination, and incident management.
Implemented automated content release using Source Tree, Git Hub, Jenkins/Bamboo, and CA RA.
Tools/Technology: Microsoft .NET 4.0, IIS 7.0, C#.NET, TFS, SQL Server 2008, Java, Linux, HTML 5.0, CSS, JS & XML, CA RA, Jenkins, Bamboo, Git Hub, Source Tree, Remedy, Splunk.
Technical Lead, TB Application Development and Maintenance
Lloyds Banking Group
01.2004 - 01.2012
Started as a developer and then started to lead 8-member team in the development and maintenance of Telephone Banking Applications (UNIX & Windows based MW services).
Involved in creating automation rules for an AML project, leveraging transactional and customer records to identify suspicious activity.
Tools/Technology: UNIX, Microsoft .NET 2.0, Visual Basic 6.0, C, C++, Pro
C, C#.Net, Oracle SQL, SQL Server 2000, Visual SourceSafe.
Education
Bachelor of Engineering (Hons) -
Birla University of Technology & Science
Pilani, India
05.2004
Skills
MLOps & AI: Agentic AI, Gen-AI, Model Management (Development, Training, Deployment, Monitoring), Real-time ML, LLM Platforms (RAG, Digital Human Solutions), Kubeflow (concepts), Ray (understanding of distributed ML), Confluent (data streaming principles)
Built and scaled a GenAI- and Cloud-native engineering organisation, mentoring 100+ engineers into senior technologists, staff engineers, and engineering leaders, with a strong bench in LLM engineering, MLOps, platform engineering, and distributed systems, materially strengthening the enterprise’s long-term technical leadership pipeline.
Recognised with the People’s Leader Award for consistently developing high-performing, future-ready engineering teams, embedding a culture of AI-first thinking, cloud excellence, and operational rigor, and setting new internal benchmarks for coaching effectiveness and talent acceleration.
Founded and led the enterprise Digital Human (GenAI) platform, delivering a production-grade, secure, and scalable AI capability integrating LLMs, real-time inference, MLOps pipelines, and cloud orchestration; the initiative was nominated for Best Innovation at the CEO Forum, reflecting its strategic, enterprise-wide impact.
Drove critical strategic initiatives at the intersection of GenAI, MLOps, and Cloud, translating executive priorities into measurable engineering outcomes, accelerating time-to-market for AI capabilities, and ensuring alignment with business value, risk management, and long-term platform sustainability.