Teams at blackshark.ai

Build and optimize resilient, high-scale, low-latency distributed microservices for ML inference on geospatial data. Solve scaling challenges, collaborate with ML and GIS engineers, ensure reliability, testing, CI/CD and deploy systems across cloud infrastructure.

Build and optimize high-throughput preprocessing and postprocessing services that transform raw satellite, aerial, and drone imagery into ML-ready inputs and production geospatial products. Implement memory-efficient, distributed worker pipelines handling diverse geospatial formats, coordinate transformations, spatial indexing, and deliverables like segmentation masks, probability maps, and GeoPackage vector outputs.

Build and operate Kubernetes clusters across cloud and edge environments, manage infrastructure-as-code with Terraform, design CI/CD pipelines, improve observability with Prometheus/Grafana/ELK, enforce security standards for regulated customers, optimize cloud costs, support on-prem and edge deployments (including customer site travel), and maintain reproducible testing and staging environments.