gaurav singh majila

I am a detail-oriented machine learning practitioner focused on dataset curation, annotation, and model fine-tuning. I combine a hands-on approach to data handling with practical experience in model training and prompt optimization.

During a Machine Learning internship I preprocessed datasets with Pandas and StandardScaler, applied PCA for dimensionality reduction, and developed a DNN using TensorFlow and Keras with LeakyReLU, batch normalization, dropout and early stopping. I achieved strong predictive performance in a multi-output regression task, reaching 95% overall accuracy for acoustic property predictions.

I have built a PySpark ALS-based recommendation system for large-scale user-item data and completed a Hands-on Approach to AI course (July–October 2024). I am seeking an AI Trainer role where I can improve AI accuracy through high-quality training data, prompt engineering, and model refinement.