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Fine Tuning

Freelancer Overview

I am a detail-oriented technology professional with hands-on experience in developing and fine-tuning AI models for diverse domains, including computer vision and medical NLP. My background includes building and optimizing deep learning pipelines for tasks such as small object detection and clinical notes classification, where I achieved high accuracy through careful data handling and model evaluation. I have worked extensively with LLMs (GPT-3.5, BERT, T5), leveraging prompt engineering, fine-tuning, and automated evaluation to enhance training data quality and model outputs. My expertise spans data annotation, feature engineering, and scalable deployment using tools like PyTorch, TensorFlow, LangChain, HuggingFace, and AWS. I am passionate about ensuring data integrity and model reliability, and I enjoy collaborating in fast-paced, impactful environments to deliver robust AI solutions.

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