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Architect with 10+ years in Java, Microservices & Cloud-Native Platforms.
Solution Architect with 12+ years of experience designing and delivering scalable, cloud-native enterprise platforms across Telecom, Healthcare, and Investment Banking domains. 10+ years of expertise in architecting cross-platform, distributed systems using Java and J2EE technologies, with strong emphasis on microservices and event-driven design. Recently leading AI-integrated architecture initiatives, designing LLM-enabled microservices, secure AI orchestration layers, and cloud-native deployments on AWS. Deep expertise in Java (21/17/11/8), Spring Boot, RESTful systems, and containerized microservices deployed using Docker and Kubernetes. Extensive experience designing AWS-based architectures leveraging EC2, RDS, S3, Lambda, EKS, API Gateway, and CloudWatch for high availability and observability. Architected CI/CD and DevSecOps pipelines enabling zero-downtime deployments and automated release cycles. Designed event-driven distributed systems using Kafka and RabbitMQ for high-throughput, resilient processing. Strong experience defining non-functional requirements (scalability, reliability, security, performance) and aligning technical solutions with business objectives. Experienced in leading cross-functional teams in Agile environments, driving architecture reviews, mentoring engineers, and ensuring governance standards.
BPUT, India
Bachelor of Technology · Computer Science and Technology
N/A – Present
Cognizant
Architect
November 1, 2023 – Present
India
HCL Tech
Senior Technical Lead
January 1, 2023 – November 1, 2023
India
Philips Innovation Campus
Software Technologist II
February 1, 2021 – December 1, 2022
India
Capgemini Pvt Ltd
Sr. Consultant
October 1, 2019 – February 1, 2021
India
Persistent Systems
Module Lead
May 1, 2018 – October 1, 2019
India
Infosys Limited
Technology Analyst
February 1, 2014 – April 1, 2018
India
Tech4sys Software Solution
Software Engineer
July 1, 2013 – January 1, 2014
India
Assisted Sales (AI-Powered Financial Products Platform)
November 1, 2023 – June 1, 2026
An AI-powered assisted sales platform for marketing and retailing financial products. The system leverages Generative AI, NLP, and microservices architecture to enhance customer interactions, generate intelligent recommendations, and automate sales assistance workflows, improving conversion rates and time-to-market. Roles and Responsibilities: Designed a scalable GenAI-enabled microservices architecture integrating LLM services through a dedicated AI orchestration layer. Defined event-driven processing using Kafka to decouple AI workloads and ensure horizontal scalability. Architected secure API exposure using Amazon API Gateway with custom authorization mechanisms. Established NFRs including latency thresholds, deterministic output validation, token usage governance, and monitoring strategies. Designed AWS-based deployment architecture leveraging EC2, RDS, S3, and EKS. Implemented centralized observability using CloudWatch dashboards for AI latency, failure rates, and token utilization. Automated CI/CD and infrastructure provisioning pipelines, reducing release cycle time by 30%. Collaborated with Product, Data Science, and DevOps teams to productionize AI capabilities.
Auto Finance
January 1, 2023 – November 1, 2023
An IVR-based solution designed for auto-finance customers, enabling secure two-factor authentication and self-service options such as account management, statements, balance info, payments, and auto-pay registration. The system reduces call-handling time, improves operational efficiency, and seamlessly transfers unresolved queries to live agents for better customer support. Roles and Responsibilities: Designed and implemented IVR services using AWS Lambda integrated with Spring Boot, reducing call resolution time by 25%. Built backend services in Spring Boot for financial workflows with AWS RDS data integration. Created and exposed secure APIs via Amazon API Gateway, ensuring low latency and scalable communication. Integrated RabbitMQ for async communication, improving system resilience and decoupling workflows. Set up CloudWatch logging and metrics dashboards to monitor API performance and resource utilization. Mentored and guided a 5-member engineering team, improving delivery efficiency and code quality.
Performance Flow
February 1, 2021 – December 1, 2022
A healthcare performance management solution combining real-time location data (RTLS) with IT systems to optimize hospital resources, workflows, and capacity utilization. The platform uses microservices, dashboards, and event-driven processing to provide actionable insights, helping healthcare providers deliver cost-efficient and high-quality patient care. Roles and Responsibilities: Designed async REST microservices using Spring Boot to optimize healthcare data flow. Integrated AWS S3 for secure healthcare media storage with encryption and lifecycle policies. Enhanced system observability with CloudWatch + Grafana dashboards, reducing issue resolution time by 20%. Containerized apps with Docker and deployed them on EKS Kubernetes clusters with auto-scaling policies. Built Kafka event-driven services handling high-throughput real-time healthcare data streams. Introduced RabbitMQ retries and DLQs, increasing fault tolerance and resilience. Coordinated with QA and Security teams to ensure HIPAA compliance in microservices delivery.
Cisco Customer Portal
October 1, 2019 – February 1, 2021
A customer-facing portal built for Cisco to manage multimodal inputs such as voice and actions, providing automated network violation reports across enterprise customer networks. The platform enables real-time monitoring, streamlined workflows, and responsive insights through microservices and event-driven messaging architecture. Roles and Responsibilities: Designed and developed REST microservices with Spring Boot for Cisco's enterprise portal. Implemented Spring IOC, JPA, and Security to standardize microservice architecture. Developed multi-threaded batch processing, improving job completion speed by 35%. Built Kubernetes manifests and Helm charts, enabling seamless multi-cluster deployments. Integrated Kafka-based messaging, ensuring real-time synchronization of customer data. Set up CI/CD pipelines with Jenkins + Docker, enabling automated deployments. Led a 6-member development team, mentoring juniors and conducting code reviews.
Textai - LC And Payment
May 1, 2018 – October 1, 2019
An OCR and machine learning-based platform for extracting structured entities from unstructured legal and financial documents such as PDFs and images. The solution transforms OCR output into JSON or database records using ML algorithms, ensuring higher accuracy and faster document processing for downstream applications. Roles and Responsibilities: Developed an OCR-driven AI platform for entity extraction from unstructured legal/financial documents. Built persistence layer using Spring DAO and Hibernate, optimizing DB access queries. Coordinated with stakeholders to define automation flows, reducing manual verification by 60%. Led UAT with a 4-member team, resolving 95% of issues within SLA. Implemented batch processing optimizations, enabling high-volume ingestion of financial docs.
FIRST & SDAF
February 1, 2014 – April 1, 2018
An enterprise-scale insurance and retirement services platform enabling customer registration, secure payments, policy information search, and account management. Built on modular microservices with secure REST APIs, the system integrates multiple backend systems to provide a seamless customer experience in the insurance domain. Roles and Responsibilities: Built and deployed RESTful APIs with Spring Boot for financial transactions. Secured apps with Spring Security + JWT authentication/authorization. Developed reusable components tested with Postman and automated unit tests. Deployed microservices on Tomcat servers with Maven for build automation. Delivered in Agile sprints, ensuring on-time delivery of features and bug fixes.
Case Law Conversion Engineering
July 1, 2013 – January 1, 2014
A legal document digitization and workflow automation platform that converts case law into structured XML. The solution integrates Spring MVC apps, automated Unix scripts, and JavaScript validations to ensure accurate conversion, improved maintainability, and streamlined data processing for legal information systems. Roles and Responsibilities: Developed Spring MVC web apps using XML + annotation-driven configuration. Automated Unix shell scripts for developer environment setup, saving hours of manual work. Implemented JavaScript-based validations/workflows, improving frontend usability. Wrote JUnit test cases to ensure >80% code coverage. Participated in end-to-end SDLC, gaining early exposure to client communication.
Cultural Fit Analysis
The candidate's project diversity across financial products, auto finance, healthcare, and enterprise portals showcases adaptability and a broad understanding of different business domains. Their experience in leading teams, mentoring juniors, and coordinating with various stakeholders aligns well with a collaborative and growth-oriented culture. The emphasis on secure, scalable, and resilient systems, along with CI/CD and DevSecOps, indicates a strong commitment to best practices and quality, which is a good cultural fit for a senior architectural role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring skills, evident from leading multiple engineering teams and conducting code reviews. Their experience in Agile environments, collaboration with cross-functional teams (Product, Data Science, DevOps, QA, Security), and focus on NFRs indicate a strong operational fit. The ability to define automation flows and improve delivery efficiency suggests a proactive and process-oriented approach.