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Hernan Payrumani

PROFILE

Hernan Payrumani

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.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
3
Lines of code
1,194
Activity Months3

Work History

February 2025

1 Commits • 1 Features

Feb 1, 2025

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

1 Commits • 1 Features

Jan 1, 2025

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

2 Commits • 1 Features

Dec 1, 2024

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.

Activity

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Quality Metrics

Correctness95.0%
Maintainability90.0%
Architecture95.0%
Performance90.0%
AI Usage30.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Backend DevelopmentCode RefactoringComputer VisionFull Stack DevelopmentMachine LearningObject DetectionPythonTestingVideo Processing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

landing-ai/vision-agent

Dec 2024 Feb 2025
3 Months active

Languages Used

Python

Technical Skills

Computer VisionFull Stack DevelopmentMachine LearningObject DetectionPythonVideo Processing

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