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I am an experienced image and data annotator with a strong passion for precision and accuracy. Over the years, I have honed my skills in various annotation techniques, including bounding box, polygon, and semantic segmentation using the following tools: - QGIS - CVAT - DarwinV7 - SuperAnnotate - Label Studio - Labelme - Labelimg - Labelbox - Supervisely - Roboflow My expertise lies in annotating various types of data including the following: - AI Object Detection - Image and Video Annotation/Labeling/Tagging - Text Annotation. AI Correction - Polygons Segmentation - Keypoints - Semantic relation (Document Analysis) I am reliable and always willing to learn.

Hi, and welcome to my profile! I’m a passionate Data Annotation Specialist with extensive experience in image annotation and data labeling, contributing to projects that advance computer vision and artificial intelligence technologies. Over the years, I’ve worked with a variety of companies and AI-driven projects, consistently delivering high-quality and accurate annotations in fast-paced, deadline-driven environments. I possess strong skills in time management, task prioritization, and maintaining a high level of accuracy and efficiency. I am dedicated to producing reliable results that support the development of cutting-edge AI solutions. I can offer: ✔️ Video Annotations ✔️ Image Annotations ✔️ Bounding boxes ✔️ Object labeling/tagging ✔️ Segmentation ✔️ Polygon ✔️ Cuboids, 3D boxes ✔️ Image Tagging ✔️ Key Points I have used various kinds of tools for generating training datasets like; ✔️Dataturks ✔️Boobs ✔️Scalabel ✔️CVAT/SuperAnnotate/Labelme ✔️VGG ✔️LabelImg and other open-source tools. I pride myself on providing the highest quality of work. Regards: Marcelino

Annotator since 2016 and doing annotation on different tools and has worked with different companies and projects that develop Machine Learning Model and Artificial Intelligence from scratch. Expertise in the following annotation Bounding box, Polygon, Lidar, Data Mining, Aerial, Segmentation, Categorization, Image and Video annotation. Tools: ✔️3D Slicer ✔️Microsoft Azure ✔️Labellmg ✔️Supervisely ✔️SuperAnnotate ✔️YOLO ✔️Dataturks ✔️VGG ✔️ITK SNAP ✔️V7 Darwin ✔️Coco annotator ✔️Labelbox ✔️Roboflow ✔️Tensorflow ✔️NER Fast • High Accuracy • Consistent •

---------------------------------⭐️⭐️TOP STAR⭐️⭐️------------------------------------ ​Bridging the gap between rigorous Quality Assurance and cutting-edge Machine Learning, I am a technical specialist focused on the end-to-end lifecycle of intelligent systems. My expertise lies in architecting automated testing frameworks for AI-driven applications, specifically focusing on Large Language Models (LLMs), Voice AI, and real-time Computer Vision systems. With a background rooted in QA Engineering and a deep pivot into AI development, I ensure that complex, non-deterministic models meet production-grade standards for reliability, accuracy, and performance. ​Core Competencies ​1. AI & Machine Learning Integration ​I specialize in the deployment and validation of advanced neural networks. My technical stack is centered on Computer Vision, particularly the YOLO (You Only Look Once) ecosystem, including versions v8, v11, and the latest v26. I have successfully moved multiple CNN models from local development to production environments using Hugging Face and Gradio, ensuring that the underlying inference logic is both sound and scalable. ​2. Intelligent Automation & LLM Testing ​Testing LLMs and AI Bots requires a departure from traditional "pass/fail" logic. I implement evaluative frameworks that test for: ​Model Hallucination & Factuality: Validating LLM outputs against ground-truth data. ​Latency & Throughput: Optimizing real-time object detection and voice response times to ensure seamless user experiences. ​Edge Case Robustness: Using deliberate repetition and "overlearning" methodologies to identify failure points in bounding box logic, tracking IDs, and classification confidence scores. ​3. Advanced Technical Stack ​Programming & Frameworks: Expert-level proficiency in Python, OpenCV, and PyTorch. ​Infrastructure: Extensive experience in building and optimizing local AI workstations (utilizing high-VRAM NVIDIA hardware) for training custom datasets, reducing reliance on cloud-cost volatility. ​QA Automation: Designing robust CI/CD pipelines that integrate automated test suites with ML training workflows. ​Strategic Approach ​My methodology is defined by a commitment to technical mastery through depth. I don't just test software; I dissect the architecture behind it. Whether it is a vehicle-and-people counter or a security-focused weapon detection system, my approach involves a rigorous "bottom-up" validation process—ensuring the raw data input, the neural layers, and the final UI output are perfectly aligned. ​I thrive in high-intensity, focused environments where the goal is to solve "impossible" technical hurdles. By combining the precision of a Manual/Automated QA Specialist with the innovative mindset of an ML Developer, I deliver AI solutions that are not only functional but resilient. ​Key Project Highlights ​Medical Imaging AI: Developed and validated classification models for lung pathology and pneumonia with high-precision confusion matrix results. ​Real-Time Detection: Engineered tracking systems using YOLOv11 for complex environment monitoring, focusing on ID persistence and spatial accuracy. ​Production Deployment: Streamlined the pipeline for deploying custom-trained models to public-facing platforms, ensuring high availability and optimized inference.

NOTE: Willing to do a TEST JOB I can do the following for you: -AI generated images -AI generated short videos -YouTube Thumbnail Design -Engaging Thumbnails -High-Click-Through Rate (CTR) Thumbnails -AI-Powered Thumbnail Design -Thumbnail design -YouTube Thumbnail Expert -Thumbnail Creation -Custom YouTube Thumbnails -ChatGPT AI designs -YouTube Graphic Design -Canva Thumbnail Design -Podcast Video editor -Youtube AI Video Editor -Youtube Thumbnail Artist -AI Thumbnail for Youtube -Youtube Thumbnail Localization Designer -AI Cinematic Short Film -AI Cat Video Creator -AI Image to Video Designer -AI Script to Image Designer -Youtube AI Stories and Images -Social Media Content Creator -Social media video editor -AI video using Kling AI / RunwayML AI / Luma AI / Heygen / Elevenlabs / Veo 3 -AI Animation -AI Art Creator -AI content creation -AI Image Generation -AI Image Generator -AI Image to Video Creator -AI Script to Video Creator -AI Video Creation -AI Video Creator -AI Video Editing -AI Video Sequence -AI-Powered Image Creation -AI-Powered Video Editing -Automated Image Design -Automated Video Production -Book Cover -Can use Trello -Canva Design -Crime YouTube Thumbnail Designer -Deep Learning Video Editing -Digital Art Using AI -GAN (Generative Adversarial Network) -Generative AI Art -Generative AI Video -Graphic Design -Image Editing -Machine Learning Art -Machine Learning Video -Short Form Video -Short-Form Video Ads -Social media graphics -Synthetic Imagery -Synthetic Video Content -Thumbnail artist police bodycam -Tutorial Channel Thumbnail Designer -Video Editor -Video Synthesis -Video Thumbnails -YouTube Thumbnail Designer

Hi, I would like to express my sincere interest in the position. I have been working as an image annotator and data labeler for four years now. I am an expert in bounding boxes, polygon annotation, segmentation, and masking. I know using LabelStudio, LabelImg, Labelbox, QGIS, CVAT, COCO Annotator, DataTorch, and other web-based annotation tools, and willing to study other tools if I have not used them before. I can grasp new concepts quickly and efficiently. I guarantee precise and efficient work as I am very attentive to details. I work well independently with minimal supervision but will ask questions if needed. I'm easy to contact, reliable and always meet every deadline.