containerization , agent coordination, Azure ecosystem, cloud-native GenAI solutions, agent-based workflows, LLM APIs, vector databases, CI CD, embedding generation, Python 3.11, model monitoring

Machine Learning, Version Control, Testing, Unsupervised Learning, Computer Vision, Python, AWS, data processing pipelines, supervised learning, anomaly detection, Amazon SageMaker, interactive visualization tools, Dash, computational optimization, Streamlit, time-series analysis, deep neural networks, rsconnect

Machine Learning, Sql, Tensorflow, Pytorch, Python, Distributed data processing, Prompt engineering, Feature engineering, Agentic AI systems, Statistical Models, Deep learning frameworks, LLM-powered applications, RAG pipelines

Java, Scipy, Google Cloud, Numpy, Pandas, Spark, Azure, Python, AWS, Hugging Face Transformers, Scikit-learn, Ray

Pyspark, Predictive Modelling, Machine Learning, data mining, Artificial Neural Networks, Tensorflow, Numpy, Pandas, Flask, FastAPI, Clustering, Python, Generative AI, scikit-learn, model deployment, feature engineering

data engineering , Machine Learning, Azure, Python, AWS, Generative AI, LLMs, experimentation, Model Evaluation

XGBoost, Svm, Nosql, Deep Learning, Sed, RDBMS, Linux, Awk, MongoDB, data structures, Clustering, Python, ML algorithms, GLMM, GLM, tree-based learners, dimensionality reduction, R, Bayesian Methods, Rf, Regression, time series modelling, Sem

Sql, ELT, Numpy, Pandas, Pytorch, Gcp, XGBoost, Azure, Python, AWS, Etl, scikit-learn, MLflow, SageMaker, Kubeflow

Machine Learning, Azure, Python, AWS, Generative AI, LLMs, experimentation, Model Evaluation