Hemanthnaidu Bugatha
Backend Engineer
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Product Inventory Management System
Developed a full-stack product inventory and e-commerce management platform for managing products, users, orders, payments, and deliveries.
Built the backend using Node.js and Express.js, with MongoDB for data storage and management.
Developed the frontend using React.js with REST API integration.
Implemented SMS-based OTP authentication using the SMSHub API.
Integrated geolocation and location-mapping APIs for managing customer/delivery locations.
Integrated Cashfree Payment Gateway for secure online payment processing.
Integrated a delivery-tracking API to allow users to track order and delivery status.
Implemented backend REST APIs for product, inventory, user, order, and transaction management.
Deployed the application on Google Cloud Run for scalable cloud hosting.
Configured the application with a custom domain and production-ready cloud deployment.
Combined authentication, inventory management, payments, location services, and delivery tracking into a single end-to-end platform.
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Swiggy-Deploy is a secure and scalable DevOps deployment platform built to automate the deployment lifecycle of a containerized Swiggy Clone application on AWS. The project uses Amazon EKS for Kubernetes-based container orchestration and Terraform for infrastructure provisioning, enabling the underlying cloud infrastructure to be defined and managed as code. I implemented a CI/CD pipeline using Jenkins and ArgoCD to automate application builds, deployments, and continuous delivery to the Kubernetes environment. To improve software quality and security throughout the development lifecycle, I integrated SonarQube for static code analysis and Trivy for container vulnerability scanning. The project demonstrates an end-to-end DevOps workflow covering infrastructure as code, containerization, Kubernetes orchestration, continuous integration, continuous deployment, security scanning, and automated application delivery on AWS.
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Debugger-AI is an AI-powered developer assistant designed to help developers diagnose and resolve software errors faster. The system uses a Retrieval-Augmented Generation (RAG) pipeline to retrieve relevant solutions from developer communities such as Stack Overflow and Reddit, allowing it to provide contextual answers based on real-world solutions rather than relying only on the model’s existing knowledge. I implemented integrations with the Stack Overflow and Reddit APIs to collect relevant technical discussions and used Pinecone as a vector database for similarity search and efficient retrieval of related solutions. When a developer submits an error or technical issue, the system identifies relevant context, retrieves similar problems and community solutions, and generates a focused response to help resolve the issue. The project combines AI, NLP, API integration, vector search, and intelligent retrieval into a practical debugging assistant aimed at reducing the time developers spend searching through forums and documentation
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I work on PayBridge, an end-to-end payroll automation platform developed to streamline and automate UST’s payroll processing operations. The platform integrates with Workday APIs to securely retrieve employee and payroll-related data and process it through various stages of the payroll workflow. A major part of the system involves workflow automation for handling payroll approvals, rejections, validations, and business processes, reducing manual intervention and improving the overall efficiency and reliability of payroll operations. My work involves developing and maintaining backend services using Spring Boot and microservices, integrating and consuming REST APIs, working with SQL and MongoDB databases, implementing business logic, and contributing to Angular-based application features. I also work with cloud and DevOps practices around the application, including CI/CD, containerization, deployment, monitoring, and troubleshooting. Through PayBridge, I have gained hands-on experience working on an enterprise-scale application where data integration, workflow orchestration, reliability, security, and automation are critical to the business process.
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