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Senior Mern Developer with 5+ years in AI/LLM & Microservices
MERN stack Developer with 5+ years of hands-on experience delivering enterprise applications across FinTech, Automotive, and Telecom domains. Strong expertise in REST API development, microservices architecture, JWT authentication, Role-Based Access Control (RBAC), MongoDB schema optimization, and AWS cloud deployments. Experienced in building scalable systems with high availability, performance optimization, and secure coding standards. Additionally experienced in integrating Al capabilities into enterprise platforms including RAG-based systems, Al prompt engineering, structured prompt optimization, LLM API integrations, Al response validation, and Al Test Assurance frameworks to ensure reliability, compliance, and production-grade Al performance. Proven ability to manage end-to-end feature ownership in Agile/Scrum environments and deliver robust, production-ready applications.
Gunupur College, Berhampur University
Bachelor's Degree · Engineering
August 1, 2017 – June 30, 2020
Ncore Technology Pvt. Ltd
MERN Stack Developer
December 1, 2020 – Present
India
Finity – Digital Wealth Management Platform
July 1, 2024 – Present
Finity is a scalable digital wealth management platform designed to help users manage investments, track portfolios, monitor financial transactions, and analyze real-time financial performance through interactive dashboards. The platform processes high-volume financial data securely while maintaining enterprise-level compliance and performance standards.Additionally, Al-powered capabilities were integrated using Retrieval-Augmented Generation (RAG), structured Al Prompting, and LLM API integrations to generate intelligent portfolio insights, financial summaries, and contextual investment recommendations with enhanced accuracy and compliance controls. Designed and developed full-stack modules for portfolio management, transaction processing, reporting, and analytics. Built scalable and reusable UI components using React.js, Next.js, and TypeScript. Developed secure RESTful APIs using Node.js and Express.js for investment accounts and financial workflows. Designed optimized MongoDB schemas and aggregation pipelines for large financial datasets. Implemented JWT-based authentication and Role-Based Access Control (RBAC). Architected microservices for scalable backend services. Integrated RAG (Retrieval-Augmented Generation) architecture for contextual portfolio insights and financial report generation. Implemented advanced Al Prompting and Prompt Engineering frameworks with dynamic context injection for improved response precision. Integrated external LLM APIs to enable natural language financial query processing. Designed structured prompts to minimize hallucination and improve financial compliance accuracy. Implemented Al Guardrails for secure and controlled Al output generation. Developed Al Test Assurance workflows to validate Al-generated summaries, financial analytics outputs, and compliance reports. Created automated test scenarios for Al response validation and performance benchmarking. Optimized API performance, caching strategies, and lazy loading techniques. Wrote unit and integration test cases using Jest and React Testing Library. Containerized applications using Docker and managed CI/CD pipelines via GitLab. Deployed and maintained scalable production environments on AWS EC2 and S3. Collaborated in Agile/Scrum methodology for sprint planning and feature delivery.
Mercedes-Benz Digital Platform
April 1, 2023 – June 1, 2024
Enterprise-level web application developed to manage vehicle lifecycle operations, dealer management, service booking, and customer engagement across global regions. Built using the MERN stack with microservices architecture, secure REST APIs, JWT authentication, and RBAC for scalable and secure operations. Integrated Al-powered modules using RAG and Prompt Engineering to enable intelligent document retrieval, automated reporting, and data-driven operational insights. Designed and developed scalable end-to-end MERN stack modules for vehicle lifecycle management, service booking, dealer operations, and customer portals. Architected and implemented a microservices-based backend architecture to enable independent deployment, scalability, and maintainability. Developed secure and optimized RESTful APIs using Node.js and Express.js for vehicle, customer, booking, and service workflows. Implemented JWT-based authentication and Role-Based Access Control (RBAC) to ensure multi-level secure access. Designed efficient MongoDB schemas, indexing strategies, and aggregation pipelines to handle high-volume operational data. Built reusable, responsive, and performance-optimized Ul components using React.js, Next.js, and TypeScript. Improved system performance by optimizing API response time, reducing redundant database queries, and implementing lazy loading and pagination. Integrated middleware-level validations, centralized error handling, and logging mechanisms for enhanced system reliability. Developed and integrated RAG-based document retrieval module for intelligent access to vehicle and service documentation. Engineered structured Prompt Engineering frameworks for Al-driven operational reports and data insights. Implemented Al guardrails and response validation mechanisms to ensure compliance, accuracy, and reduced hallucination risks. Designed and executed Al Test Assurance workflows to validate consistency and reliability of Al-generated outputs. Containerized applications using Docker and managed CI/CD pipelines through GitLab for automated deployments. Deployed and maintained production environments on AWS EC2 and S3, ensuring high availability and scalability. Collaborated closely with QA, DevOps, and business stakeholders in Agile/Scrum environments for sprint planning and feature delivery. Participated in code reviews, technical discussions, and architectural decision-making to maintain clean and scalable code standards.
Airtel – Vendor Management Portal
July 1, 2022 – March 1, 2023
A centralized enterprise-level Vendor Management Portal developed for Bharti Airtel to digitize vendor onboarding, procurement workflows, contract approvals, invoice tracking, and performance monitoring. The system replaced manual processes with an automated, secure, and scalable web application enabling real-time tracking, multi-level approval workflows, and operational transparency. The platform was built using the MERN stack with secure REST APIs, JWT-based authentication, and Role-Based Access Control (RBAC). Designed and developed end-to-end MERN stack modules for vendor onboarding, procurement, and invoice management. Built reusable and responsive Ul components using React.js, TypeScript, Redux Toolkit, and Material UI. Developed scalable and secure RESTful APIs using Node.js and Express.js. Implemented JWT authentication and multi-level Role-Based Access Control (Admin, Manager, Vendor). Designed optimized MongoDB schemas, indexing strategies, and aggregation queries for large vendor datasets. Developed multi-stage approval workflows with real-time status tracking and notifications. Built advanced search, filtering, and export functionalities for procurement and invoice records. Implemented middleware security validations and centralized error handling mechanisms. Optimized backend performance using pagination, query optimization, and caching techniques. Wrote unit and integration tests using Jest and React Testing Library. Containerized applications using Docker and deployed via GitLab CI/CD pipelines. Managed deployment and maintenance on AWS EC2 and S3 ensuring high availability. Collaborated with QA, DevOps, and business teams in Agile/Scrum environment for sprint planning and release management.
BlueMarble Order Management (Comviva)
December 1, 2020 – June 1, 2022
BlueMarble Order Management is an enterprise-level order processing and workflow automation system developed to manage telecom product orders, approvals, tracking, and reporting. The system supports high-volume transactions with secure APIs and role-based workflows. Al-powered modules were integrated using Prompt Engineering and RAG architecture to generate intelligent order summaries, predictive insights, and automated workflow recommendations. Designed and developed full-stack order management modules. Built reusable and scalable Ul components using React.js and TypeScript. Developed secure REST APIs using Node.js and Express.js. Designed optimized MongoDB schemas and indexing strategies. Implemented JWT authentication and multi-level RBAC. Developed microservices for independent order workflows. Integrated RAG architecture for contextual order analytics. Implemented structured Al Prompt Engineering for automated order summaries. Integrated external LLM APIs for natural language query processing. Designed Al guardrails to prevent incorrect or unsafe Al responses. Worked as Al Test Engineer validating Al-generated outputs. Created Al response validation test cases for accuracy and compliance. Optimized API performance using caching and pagination. Containerized application using Docker and deployed on AWS. Collaborated in Agile/Scrum environment for sprint delivery.
Cultural Fit Analysis
The candidate's experience spans multiple enterprise-level projects across diverse industries (FinTech, Automotive, Telecom), showcasing adaptability and a broad understanding of different business contexts. The consistent use of Agile/Scrum methodologies and collaboration with various stakeholders (QA, DevOps, business) indicates a strong cultural fit for dynamic, team-oriented environments. The breadth of technical skills, including advanced AI/LLM integrations, suggests a proactive approach to learning and adopting new technologies, which is beneficial for an innovative culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration in Agile/Scrum environments, participation in code reviews, and architectural decision-making, indicating good team collaboration and operational fit. The emphasis on secure coding standards, compliance, and AI guardrails suggests a responsible and quality-focused approach. The detailed descriptions of roles and responsibilities across multiple complex projects demonstrate strong ownership and delivery capabilities.