Niclas Overby Ⓝ

Acting as a productivity-multiplying bridge between Software, Hardware, and CV/AI teams, streamlining development workflows and infrastructure

• Accelerated AI model optimization by establishing on-premises training fleet
• Modernized development environments by migrating complex Docker-based test setups to reproducible Nix configurations
• Pioneered integration of Yocto/BitBake embedded Linux builds with CUDA GPU acceleration in Nix ecosystem
• Spearheaded company-wide adoption of Nix developer environments, improving build reproducibility and onboarding experience
• Architected and deployed NixOS-based on-premises build server infrastructure for continuous integration
• Optimized developer productivity by managing multi-tiered caching infrastructure (Yocto, Nix, Sccache) reducing build times across teams

Empowered global industrial companies in their digital transformation journey, building scalable infrastructure and tools to optimize manufacturing resource utilization

• Orchestrated multi-account AWS infrastructure supporting real-time IoT data processing from factory floors worldwide
• Streamlined developer experience by introducing Nix-based reproducible environments for development, CI/CD and production
• Engineered custom GitHub Actions workflows and tooling for efficient monorepo management, reducing CI build times by enabling intelligent caching and parallelization
• Developed modern web applications using React, TypeScript, and GraphQL, delivering intuitive dashboards for manufacturing analytics
• Built high-performance Rust backend services for processing and analyzing industrial sensor data at scale

Built an end-to-end platform for capturing, streaming, and managing 2D/3D video data from distributed camera fleets to power computer vision and AI model training

• Developed high-performance depth-video streaming pipeline using custom Rust GStreamer elements, enabling real-time 3D data transmission
• Implemented 3D reconstruction algorithms processing depth-video streams for spatial mapping and scene understanding
• Architected multi-cloud infrastructure spanning AWS and Azure with Kubernetes orchestration, ensuring high availability and scalability
• Established over-the-air (OTA) update system for embedded camera devices using OpenBalena, enabling remote fleet management of hundreds of edge devices
• Designed and implemented custom CI/CD pipelines for GitLab and GitHub, optimizing monorepo workflows and reducing integration friction
• Built robust binary artifact management system using Conan and Artifactory, streamlining dependency management across Rust, C, and C++ codebases
• Created intuitive web interfaces with React, TypeScript, and GraphQL for camera fleet monitoring and data visualization
• Developed scalable backend infrastructure using Hasura and PostgreSQL, providing real-time GraphQL APIs for video metadata and device management
• Integrated diverse technology stack (embedded systems, cloud infrastructure, web applications) into cohesive development and production workflows, bridging hardware and software domains

Helped students, participating in imperative programming course, to solve exercises and gave feedback on their assignments.