Mukul Kumar

Highly skilled and motivated software Engineer with 4+ years of experience in Spring Boot, Java, TestNG, Rest Assured, Microservice, Git, Jira, Build Jenkins Pipelines, AWS serverless, MySQL. Seeking a challenging position where I can leverage my experience to develop robust and scalable software solutions while continuously expanding my knowledge and contributing to the success of the Organization.

• Locomotive Management System(LMS Server) - Sigma Railway, 01/08/25-Present, The Locomotive Management System (LMS) is a centralized platform designed to collect, process, and display telemetry and operational data from locomotives in real-time. Data is sourced from multiple vendors’ RMS (Remote Monitoring Systems), each providing parameters such as speed, traction power, fuel consumption, oil pressure, braking status, fault codes, and other critical locomotive performance metrics. Since different vendors follow varying data formats, protocols, and APIs, LMS integrates them into a standardized data model, ensuring seamless compatibility and uniform reporting across the fleet. Tech stack: Backend: Java, Spring Boot, Database: MySQL (for relational data), MongoDB (for telemetry and unstructured data, with aggregation pipelines), Data ingestion: RESTful POST API exposed by LMS (consumed by vendors’ RMS systems), Communication format: JSON over HTTP (POST requests), Deployment: Local server (with containerization using Docker for future scalability and portability), Scalability: Cloud-ready architecture (can be migrated to cloud-native platforms if needed in the future)ture)
• Remote Monitoring System (RMS Server) - Sigma Railway, 01/01/25-Present, The Remote Monitoring System (RMS Server) is a backend platform developed to collect, process, store, and analyze telemetry data from locomotives in real time. It serves as the core component in a digital railway ecosystem, enabling proactive diagnostics, predictive maintenance, and performance optimization of electric and diesel locomotives. Tech Stack: Backend: Java, Spring Boot; Database: MongoDB (with aggregation pipelines); Data Ingestion: TCP Socket Server; Communication Format: JSON over TCP; Cloud Compatibility: Deployable on cloud-native platforms for scalability.
• Connected Home Products (CHP Cloud) - Netgear, 01/09/21-31/01/25 CHP Cloud is an ongoing software project aimed at delivering advanced security and parental control capabilities. The project incorporates two key components: the Armor feature for enhanced security and vulnerability scanning, and the Smart Parental Control (SPC) feature for effective management of children's online activities. In CHP Cloud, we manage subscriptions (activated, cancelled, renewed) for end users. We also activate, enable, and disable these services on Netgear routers and provide notifications via AWS SNS. Additionally, if activation fails for a user, we schedule jobs to activate services on routers. Develop Microservices for collecting the events from Mobile Application and publishing it to AWS Kinesis.