I am well-equipped to assist with your project requirements, having extensive experience in machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Additionally, I have hands-on expertise with cloud platforms including AWS, Azure, and GCP, along with a deep understanding of machine learning and neural network architectures like Ensemble Models, SVM, CNN, RNN, and Transformers. I’m proficient in Natural Language Processing (NLP) tools like NLTK, Spacy, and Gensim, as well as MLOps tools such as Kubeflow, MLflow, and Azure ML. Furthermore, I have practical experience with workflow tools like Airflow and microservices architecture, SQL/NoSQL databases (MongoDB, Postgres, Neo4j), and API frameworks like FastAPI, Flask, and Django. With excellent problem-solving abilities and a collaborative mindset, I can help you deliver high-quality results.