
Hernan Payrumani developed advanced video tracking and processing features for the landing-ai/vision-agent repository, focusing on scalable computer vision workflows. He implemented SAM2-based video tracking using CountGD and OWLv2 detectors, refactored the architecture to support multiple object detection tools, and introduced segmentation-based processing for large or high-resolution videos. By streamlining object detection and tracking logic, Hernan enabled independent segment processing and efficient result merging, improving throughput and reliability. He also simplified deployment by removing fine-tuning support, reducing operational risk and maintenance overhead. His work leveraged Python, machine learning, and video processing, demonstrating depth in backend and full stack development.

February 2025 (Month: 2025-02) – Landing AI Vision-Agent: Consolidated deployment path by removing fine-tuning support, including code, tests, imports, and utilities, to enforce a non-fine-tuning workflow. This simplification reduces deployment risk, accelerates release cycles, and standardizes the production path across environments.
February 2025 (Month: 2025-02) – Landing AI Vision-Agent: Consolidated deployment path by removing fine-tuning support, including code, tests, imports, and utilities, to enforce a non-fine-tuning workflow. This simplification reduces deployment risk, accelerates release cycles, and standardizes the production path across environments.
January 2025 — Landing AI / vision-agent: Delivered Large Video Processing via Segmentation to enable scalable, high-throughput handling of long-form and high-resolution videos. The feature splits input into segments, processes each independently, and merges results. Refactored object detection and tracking logic to support segmentation and added new video tracking utilities to streamline segmentation-based workflows. This work improves throughput and reliability for large video workloads and lays the groundwork for streaming or batch processing at scale.
January 2025 — Landing AI / vision-agent: Delivered Large Video Processing via Segmentation to enable scalable, high-throughput handling of long-form and high-resolution videos. The feature splits input into segments, processes each independently, and merges results. Refactored object detection and tracking logic to support segmentation and added new video tracking utilities to streamline segmentation-based workflows. This work improves throughput and reliability for large video workloads and lays the groundwork for streaming or batch processing at scale.
December 2024 – Focused delivery of video tracking capabilities in landing-ai/vision-agent, delivering SAM2-based tracking with CountGD and OWLv2 detectors, plus refactoring for multi-tool support, tests, and tool-list expansion. These changes enhance automated video analysis, enable broader detector usage, and improve test coverage and maintainability.
December 2024 – Focused delivery of video tracking capabilities in landing-ai/vision-agent, delivering SAM2-based tracking with CountGD and OWLv2 detectors, plus refactoring for multi-tool support, tests, and tool-list expansion. These changes enhance automated video analysis, enable broader detector usage, and improve test coverage and maintainability.
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