Coimbatore, Tamil Nadu, India
Hands-on engineering and architecture leader with 15+ years of experience building 0→1 and 1→N cloud-native products under real-world constraints of time, talent, and capital. I specialize in taking MVPs to production scale, evolving them into scalable, maintainable systems without accumulating costly technical debt. My work spans the full stack from frontend platforms and backend services to cloud infrastructure always optimized for speed, reliability, and runway efficiency. I take end-to-end ownership of delivery, stability, and scalability, making pragmatic technical decisions that balance business goals with engineering excellence.
Existing marketing stack suffered from siloed data, tightly coupled integrations, and limited support for real-time personalization at scale. I led the end-to-end architecture of a data-driven personalization platform, designing API-first services for segmentation, behavioral analytics, and campaign orchestration. The solution unified multiple data sources through scalable ingestion pipelines and supported both real-time and batch workflows while meeting strict requirements for performance, security, and system scalability.
Legacy claims adjudication process was constrained by manual decisioning and low-throughput integrations. I architected and delivered a scalable auto-adjudication engine using modular, rule-driven services and asynchronous processing patterns. The platform enabled near-real-time claim approvals (~5 seconds), improved throughput by 40×, and was delivered ahead of schedule despite external vendor and client dependencies.
Legacy procurement workflows were manual, slow, and difficult to govern across regions. I architected and delivered a cloud-native, microservices-based procurement platform using Node.js, React, and AWS, deployed on EKS with automated CI/CD pipelines. The solution introduced secure RBAC, integrated enterprise financial systems, and enabled end-to-end observability, driving significant reductions in cycle time and measurable cost savings.
As the founding architect, the challenge was to design and deliver a 0→1 fleet payments and expense management platform capable of handling real-time transactions, analytics, and integrations from day one. I led the end-to-end architecture across frontend platforms, backend services, APIs, and core data models to support high-volume fuel, fleet, and expense workflows. The system incorporated secure authentication, role-based access control, spend controls, and fraud-prevention mechanisms while integrating with payment networks and telematics data sources. All architectural decisions were made under startup constraints, balancing speed of delivery with long-term scalability and reliability.
As a Senior Lead Software Engineer (Backend), I led the architecture and development of scalable backend services and APIs for a full-stack industrial web platform supporting enterprise operations and internal workflows. I designed core data models, service layers, and integrations to ensure efficient processing, high performance, and reliability under enterprise-scale workloads. The system incorporated secure authentication, role-based access control, and robust data handling while integrating multiple enterprise systems. I also mentored backend engineers, guided technical decisions, and collaborated with cross-functional teams to deliver a maintainable, production-ready platform under real-world constraints.
Designed and developed a web-based platform to modernize access to global vehicle and telematics data, enabling data-driven insights at scale. Built responsive, user-facing interfaces for visualizing vehicle health, usage patterns, and operational metrics, including analytical summaries and trends. Implemented backend services and APIs to ingest, process, and expose high-volume telematics data, supporting both real-time streams and historical analysis. Integrated data from multiple global source systems and applied data transformation and feature engineering to create a unified, analytics-ready vehicle data model. Enabled data science workflows by supporting predictive and descriptive analytics use cases, while ensuring platform scalability, performance, and security for enterprise users.
As a Lead Software Engineer, I designed and developed the backend architecture for a web-based financial crime risk management platform, enabling monitoring, investigation, and reporting workflows. I implemented rule-driven risk assessment and alert management services to detect potential fraud and compliance risks at scale. The system integrated data from multiple enterprise sources to provide a unified view for case management, while ensuring secure, scalable services and compliance with regulatory standards. I also mentored engineers, guided backend development best practices, and collaborated with compliance teams to deliver a reliable, production-ready platform.