AI Model Research & Experimentation (Ongoing)
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Fine-tuningThe experience involved researching and experimenting with AI model training and fine-tuning techniques. It included exploring transfer learning and performing hyperparameter tuning to improve model performance. It also required setting up and running training pipelines and evaluating model outputs for quality and effectiveness. • Trained and fine-tuned AI model architectures using iterative experimentation. • Applied transfer learning and hyperparameter tuning workflows. • Built and executed model training pipelines and validation steps. • Conducted model evaluation by reviewing outputs and performance metrics.
2026 - Present