Computer Science undergraduate focused on designing backend systems that integrate data, control logic, and external signals into reliable automation workflows.

• Design API-driven backend architectures
• Build automation pipelines using structured decision logic
• Integrate IoT systems with server-side processing
• Focus on maintainability, modularity, and clarity in system design

• Design RESTful APIs with clear request-response structure
• Organize backend systems into modular components
• Handle data persistence using relational databases
• Structure backend logic for maintainability and clarity

• Implement rule-based automation workflows
• Build data-driven decision logic in backend systems
• Structure automation pipelines for consistent execution

• Integrate microcontroller-based devices with backend services
• Handle device-to-server communication
• Design real-time event-driven workflows

Backend-integrated intelligent automation system

• Designed a backend pipeline for processing input signals and triggering actions
• Implemented structured decision logic to handle automated workflows
• Integrated backend processing with real-world data inputs
• Focused on organizing data flow and control logic within the system

Repository: https://github.com/RR0327/Capstone-Project

Multi-module backend system

• Developed REST APIs using Django REST Framework for academic workflows
• Structured backend into modular components to manage different functionalities
• Designed interaction flow between multiple modules within the system
• Focused on maintaining clarity and separation of concerns

Repository: https://github.com/RR0327/All-In-One-University

Backend event management system

• Designed backend logic for managing event-related operations
• Structured data flow for handling event creation and coordination
• Focused on clean architecture and maintainable backend design

Repository: https://github.com/RR0327/Campus-Events-Hub

• Contributed to backend workflow design for organizational operations
• Structured communication and coordination logic for events
• Applied backend concepts in a real-world organizational context

Repository: https://github.com/RR0327/BAIUST-Robotics-Society-BARS

• Break systems into modular and independent components
• Design APIs with clear boundaries and responsibilities
• Maintain separation between business logic and data handling
• Consider real-world constraints in system behavior
• Iterate and refine system structure based on usage

• Backend system design for structured workflows
• Integration of real-world signals with backend logic
• Building maintainable and scalable service architectures
• Applying system thinking to practical software problems

Focus:

• backend architecture
• HTTP internals
• system design