Inheritage Foundation

As the lead technical architect and full-stack developer, I built the complete end-to-end platform from ground up. My primary focus was developing the sophisticated point cloud processing pipeline that converts tens to hundreds of GB of LAS/LAZ files into optimized binary formats for real-time edge processing. I integrated Cesium SDK and Potree SDK for seamless visualization, implemented background mesh optimization algorithms, and created automated OBJ model generation with baked-in materials and ambient occlusion. I architected the entire system including 38 API routes, microservices infrastructure, real-time database recording, and comprehensive refactor plan for DAL patterns and server actions. The platform handles massive datasets while maintaining responsive UI performance and comprehensive data tracking.

The primary challenge was processing massive point cloud datasets (tens to hundreds of GB in LAS/LAZ format) and converting them into optimized binary formats for real-time edge processing. This required developing sophisticated conversion pipelines that could handle massive datasets while maintaining performance. Integrating Cesium SDK and Potree SDK for seamless visualization required deep understanding of both SDKs' data requirements and optimization techniques. Background mesh optimization and automated OBJ model generation with baked-in materials and ambient occlusion demanded complex algorithms and efficient processing. Additionally, balancing technical accuracy with cultural sensitivity required deep collaboration with local communities and heritage experts. The current codebase requires architectural refactoring to implement proper DAL patterns and migrate from mixed API patterns to server actions.

Established partnerships with Archaeological Survey of India and Urban Local Bodies for heritage documentation. Created comprehensive platform with 38 API routes, microservices architecture, and government-grade security. Developed open-source tools that replace expensive proprietary software, making heritage documentation accessible to researchers and government bodies. The platform strengthens India's foothold in native homegrown technology by providing indigenous solutions to replace costly foreign proprietary software (₹25-60 lakh). This directly supports the Make in India initiative by demonstrating world-class technical capabilities built entirely in India. The platform showcases India's ability to create sophisticated point cloud processing systems, SDK integrations, and mesh optimization algorithms that compete with international solutions. Currently implementing architectural refactor for improved maintainability and performance.