Machine Learning, Cnn, Clustering, Tensorflow, Rnn, Pytorch, Docker, Celery, MySQL, Flask, Keras, Python, AWS, LSTM, SVD, Transfer Learning, GRU, LDA, uWSGI, Ensemble Learning, Transformer Models, MLFlow

Python Programming, Agentic AI systems, Data preprocessing, Databases and data management, Data visualization tools, AI ML algorithms, MLOps tools and frameworks, Model evaluation, Feature engineering

Logistic Regression, Hadoop, k-means, Cnn, Neural Networks, Pca, Sql, Tensorflow, Hive, Pytorch, XGBoost, Arima, Decision Trees, Spark, Keras, Python, LSTM, Gradient Boosting, R, ARMA

Machine Learning, Sql, Tensorflow, Gcp, Pytorch, XGBoost, Azure, Python, AWS, LangChain, Generative AI, Vector databases, LightGBM, Model evaluation and validation frameworks, HuggingFace, Scikit-learn, MLflow, OpenAI LLM APIs, LlamaIndex

regression models , Aws Lambda, Scipy, Deep Learning, Numpy, Git, MLops, Pandas, Docker, Kubernetes, Python, ML DL model development, PPG physiological signal processing, CI CD

Machine Learning, Python, Deep Learning, Generative AI

Machine Learning, orchestration patterns, RAG agent frameworks, LLMs, end-to-end AI architectures, data science fundamentals

Databricks, MLops, AWS, Python, Azure, Gcp, MLflow, LLMs, Vector databases, Multi-agent systems, LangChain, CrewAI, Classification, Generative AI, Regression, LangGraph, Embedding pipelines

Knn, Deep Learning, Tensorflow, Neural Networks, Pytorch, Python, Nlp, Rnn, XGBoost, Predictive Analytics, experimentation, scikit-learn, Basic Statistics, Model deployment, Gradient boosting, ANN, Model interpretability, reinforcement learning, Regression, Random forests, Model monitoring