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VideoI am a Computer Science undergraduate with hands-on experience in machine learning, deep learning, and AI model optimization, particularly in data preprocessing, feature engineering, and model evaluation. My work spans diverse domains such as computer vision (brain tumor classification using custom ResNet architectures), natural language processing (fine-tuning LLMs like Gemma-2 for Tamil literature), and privacy-focused data handling (developing SDKs to analyze and redact PII). I am skilled in Python, TensorFlow, PyTorch, Scikit-learn, and advanced data processing tools like Pandas and NumPy. My experience includes building and optimizing datasets, collaborating on ML deployment pipelines, and contributing to open-source projects, all of which have strengthened my attention to data quality and annotation best practices essential for high-performing AI systems.
The project provides a variety of different tasks which includes various different types of file formats.
Bachelor of Technology, Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Open Source Developer
Machine Learning Intern
