3D Point Cloud SaaS

Designed and implemented infrastructure as code and CI/CD automation. - Introducing culture of defining coding standards & best practices.

Led development team with hands-on approach, from design & specification of product requirements to planning & implementation of tasks. - Collaborating with ML researchers to bring innovative pipelines into the product as scalable & production grade features. - Working closely with Product Owner and CTO to revamp the product as an all-round platform that can efficiently apply a range of distinct processing pipelines to point clouds.

Scaled up platform support for 3D Geospatial data processing and classification of large datasets from 100M to 10B+ points.

Techstack: Python, Java, Angular, C++, Docker, Terraform, AWS, Kubernetes.

Quick overview video: here