Built and trained ML models using Python, Scikit-Learn, TensorFlow, or PyTorch for classification, prediction,
and NLP tasks.
Fine-tuned transformer models/LLMs for specific use cases like chatbots, summarization, and text generation.
Conducted feature engineering, model evaluation, cross-validation, and hyperparameter tuning.
Cleaned, transformed, and prepared datasets for AI/ML workflows.
Automated data preprocessing pipelines and ensured high-quality, consistent input data.
Developed REST APIs to serve ML models using Flask/FastAPI.
Integrated AI solutions into applications and improved prediction latency and accuracy.
Worked with JSON, microservices, Git, and version-controlled AI projects.
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