Rakesh Ravikumar

Aspiring AI Engineer with in-depth knowledge of machine learning, data analysis, and Python programming. Proficient in concepts such as TensorFlow, Google Cloud Platform, and predictive modeling, with hands-on experience through academic projects and personal learning. Seeking an opportunity to apply technical expertise to real-world AI challenges and contribute to innovative solutions.

TensorFlow for Deep Learning : [Ongoing]

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• TensorFlow Basics: Introduction to deep learning, tensors, and basic operations.
• Regression: Building and improving models for prediction tasks.
• Classification: Creating binary and multi-class classifiers, evaluating performance.
• CNNs: Image classification with convolutional neural networks.
• Transfer Learning: Using pre-trained models for feature extraction and fine-tuning.
• NLP: Tokenization, embeddings, and RNN-based models for text processing.
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GCP Machine Learning Engineer Learning Path : [Ongoing]

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• AI Foundations: Basics of AI, ML, and Generative AI on Google Cloud.
• Data Preparation: Labs on Vertex AI, Dataprep, Dataflow, and Cloud APIs.
• Vertex AI Notebooks: 8 lessons on managing notebooks.
• Feature Engineering: Feature creation, preprocessing, and TensorFlow Transform.