Machine Learning, Kafka, Sql, MLops, Docker, Spark, Python, Kubernetes, AWS, Ai, anomaly detection, Real-time data processing, Time-series forecasting

Machine Learning, MLops, Docker, Pyspark, Kubernetes, Python, Airflow, MLflow, EKS

, Azure DevOps, Sql, Python, Kubernetes, Apache Spark, Docker, Microsoft Azure, MLops, GitHub Actions, MLflow

Pandas, Tensorflow, Numpy, Azure Machine Learning, Azure Databricks, Pytorch, Python, Kubernetes, Docker, Jenkins, Azure Data Lake, Git, Azure DevOps, Azure Blob Storage, scikit-learn, Azure ML Studio

Machine Learning, Kafka, Rest Api, Nltk, Nlp, Numpy, Docker, Python, AWS, Data Structures, Algorithms, Pandas, Gcp, Pytorch, Azure, Kubernetes, Pub Sub, scikit-learn, Transformer-based Language Models, Multimodal models, Deep Learning frameworks, Transformers, ML model deployments, cloud platforms, real-time streaming tools

Machine Learning, Jax, Deep Learning, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, Computer Vision, AWS, GANs, Generative AI, Image processing techniques, CNNs, Inpainting methods, VAEs, Image-to-image generation, Diffusion models

Cursor, Nosql, Docker, Terraform, Python, AWS, BigQuery, Gcp, FastAPI, Azure, Kubernetes, ADK, Gradio, LangGraph, A2A, GitHub Actions, Vertex AI, Kubeflow, Streamlit, Windsurf, LangChain, Vector SQL, GKE, Claude Code, GitHub Copilot, FastHTML, MCP

Tensorflow, AWS, Pytorch, Python, Kubernetes, Azure, Gcp, Docker, hybrid AI systems, LLM integration, MLOps tools, MLflow, Kubeflow, feature engineering, data preprocessing, model evaluation metrics, ML pipelines, CI CD pipelines

Matplotlib, Databricks, Computer Vision, Agile Development, Deep Learning, Tensorflow, Jira, Pandas, Rest Apis, Pytorch, Git, Azure DevOps, Numpy, Machine Learning, Python, Docker, Nlp, Microsoft Azure, Retrieval-Augmented Generation, scikit-learn, LangChain, LangGraph, Large Language Models, ChromaDB, Generative AI, Qdrant