LLM finetuning
Evaluating and rewriting responses for LLMs for better answers.
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I am a detail-oriented Machine Learning and Automation Engineer with hands-on experience in data annotation, model evaluation, and AI training data pipelines. My work includes evaluating and refining LLM responses for mathematical accuracy, fine-tuning deep learning models for computer vision and NLP tasks, and integrating these models into real-world applications. I am skilled in Python, TensorFlow, PyTorch, and Hugging Face Transformers, and have built projects such as VQA model fine-tuning, brain tumor detection from MRI scans, and sentiment analysis using BERT. My experience spans data preprocessing, feature engineering, and automating data workflows, which has given me a strong foundation in producing high-quality, reliable datasets for AI systems in domains like healthcare, retail, and automation. I am eager to contribute my technical expertise and passion for data quality to impactful AI and data labeling initiatives.
Evaluating and rewriting responses for LLMs for better answers.
Bachelor of Science, Computer Science
Data Science and AI Specialist