Highly motivated and results-driven AI Trainer and Data Annotation Specialist with a strong foundation in
Computer Vision, Machine Learning, and Full Stack Development. Proven ability to deliver high-quality, precise
data for complex AI models, including video, image, audio, and SQL-based linguistic data. Seeking to leverage
expertise in model training, data pipeline optimization, and full-stack development to contribute to cutting-edge
machine learning projects.
Core Skills: AI Training, Data Annotation, Computer Vision, Prompt Engineering, Quality Assurance, Machine
Learning, Python, Deep Learning, SQL.
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Engineered a behavior-based detection pipeline using YOLOv8, Open VINO, and OpenCV to detect disposal actions on live RTSP streams with 85%+ accuracy and trigger local PA audio warnings.
Implemented quantization and code optimization, frame-skipping strategies that reduced CPU usage by 45% and improved throughput by 3x.
Scaled the solution using multi-threading and multiprocessing across LAN to process 50+ concurrent RTSP.
Responsibilities: data collection, image annotation, image augmentation, and overfitting mitigation, model training, feature engineering, inference optimization, deployment, and monitoring.
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