Twindo
Wind Energy Management Platform
Twindo is an enterprise-grade, cloud-based platform designed to digitally transform wind energy operations. It streamlines project planning, workforce management, safety and quality workflows, data tracking, and analytics across wind farms through a scalable and highly customizable system tailored for the renewable energy sector.
The platform enables efficient management of wind farm operations with features like dynamic form building for inspections and safety checks, advanced job planning with multi-slot scheduling, and interactive map integration for visualizing wind sites and operational data.
Tech Stack
Project Gallery
Advanced job planner with multi-slot scheduling
Asset-level planning and maintenance scheduling
Drag-and-drop form builder for inspections and safety checks
Wind farm projects overview and management
Key Responsibilities
- Worked as full-stack Developer contributing to multiple core modules of the platform
- Integrated APIs for key entities including Workers, Turbines, Jobs, Sites, and Projects
- Designed and developed dynamic Form Builder with drag & drop features using react-beautiful-dnd
- Built advanced Planner module to assign jobs/tasks to workers using multi-slot scheduling and availability logic
- Developed and maintained complex, data-driven UI dashboards with focus on usability and scalability
- Implemented interactive map integration for visualizing wind sites, turbines, and operational data
- Performed frontend performance optimizations to improve load time and responsiveness
- Collaborated closely with backend teams and product stakeholders to deliver production-ready features
- Customized and extended react-calendar-timeline beyond default library capabilities
- Reworked internal timeline components and styles using custom CSS and layout logic
Key Achievements
- Successfully delivered multiple business-critical modules used in real-world wind energy operations
- Improved user productivity by enabling efficient job planning and workforce allocation
- Reduced manual effort and errors through customizable digital forms and workflows
- Enhanced application performance and user experience across large datasets
- Implemented smooth auto-scroll dragging behavior for timeline items by patching the library
- Overcame third-party library limitations by modifying internal behavior for large-scale scheduling
- Delivered highly usable planner experience despite framework constraints
