Engineering Leader | Agentic AI, LLMs, Cloud Platforms, DevOps & SRE

Head engineering strategy, architecture, delivery, and production operations for Agentic AI, Voice AI, and enterprise messaging platforms. Lead a globally distributed organization of more than 30 engineering managers, architects, backend engineers, DevOps/SRE engineers, and QA engineers across four locations.

Lead an Agentic AI Voice Platform handling more than 20 million calls daily at 5,000 CPS per region for over 100 enterprise customers. Own AI roadmap, platform architecture, SRE operations, cloud budget, FinOps, and executive reporting. Built multi-agent orchestration using LangGraph, Kafka, and NATS; standardized GitOps CI/CD, Kubernetes, and OpenTelemetry observability; and reduced annual cloud costs by ₹25M.

Led globally distributed teams delivering cloud-native logistics platforms processing over 15 million transactions per day across AWS, Azure, and Google Cloud. Owned planning, architecture, engineering, QA, releases, production support, milestones, risks, and stakeholder communication.

Maintained 99.9% availability through SRE practices, resilience engineering, capacity planning, incident management, and operational reviews. Modernized more than 25 enterprise services into Java, Spring Boot, Kafka, and Kubernetes microservices, reduced deployment time by 50%, and delivered AI/ML analytics and LLM-powered operational assistants.

Led hybrid-cloud architecture and engineering delivery for a telecom BSS transformation supporting T-Mobile Netherlands. Engaged customer executives and program stakeholders on scope, milestones, delivery risks, and architecture decisions.

Delivered telecom order-management and provisioning platforms integrated with Salesforce CRM and Ericsson OSS. Defined non-functional requirements, SLAs, SLOs, monitoring, alerting, and production runbooks, while reducing release cycles by 40% through Kubernetes, CI/CD automation, and cloud-native practices.

Led architecture and engineering delivery for DBS Singapore's digital banking platform supporting more than five million customers. Served as Tribe Architect across multiple agile squads and aligned technology strategy, delivery status, compliance, security, and product priorities with executive stakeholders.

Delivered over 30 successful production releases without critical outages using release governance, automated testing, rollback strategies, and change management. Built cloud-native banking platforms with Java, Kubernetes, Kafka, IBM Cloud, AWS, and Azure, while improving engineering productivity through reusable frameworks and DevOps automation.

Built and led globally distributed engineering organizations of more than 30 engineers across multiple countries. Owned hiring, onboarding, team structure, career development, technical leadership, delivery planning, client escalations, forecasting, and resourcing for concurrent client programs.

Improved engineering quality through architecture governance, standards, code review practices, DevOps adoption, automated testing, and containerization. Reduced production incidents by 45% through observability and SLA-driven incident processes, and received The Titans Award for engineering leadership, delivery excellence, and client success.

Built enterprise banking credit analytics workstations and telecom mediation platforms using Java, Oracle, REST APIs, and distributed systems. Delivered revenue-assurance, mediation, and enterprise-reporting solutions that improved reporting efficiency by 90%.

Improved Java and Oracle application performance through architecture and database optimization. Led module-level teams through sprint planning, code reviews, and mentoring, while providing L3 production support, root-cause analysis, SLA-bound incident resolution, runbooks, and automation scripts.

Bachelor of Engineering in Computer Science & Engineering.