Machine Learning, Hadoop, Apache Spark, Dynamodb, Kafka, Deep Learning, Tensorflow, Pytorch, Presto, Keras, Python, AWS, ML Ops

Machine Learning, Kafka, Sql, Gcp, Docker, Spark, Kubernetes, Python, AWS, Llm, RAG, Generative AI models

containerization , Docker, System Design, Python, Asynchronous processing, Generative AI, Event-driven systems, Cloud platforms, Multi-step AI pipelines, Scalable architectures, distributed architectures, Orchestration frameworks, LLM-based applications, Agentic workflows, Model deployment strategies

snowflake , Tensorflow, AWS, Pytorch, Python, Azure, Gcp, Kubeflow, MLflow

Machine Learning, Kafka, Sql, Tensorflow, Pandas, Numpy, Gcp, Pytorch, Docker, Kubernetes, Python, AWS, LangChain, Airflow, scikit-learn

Kubernetes, python, Tensorflow, Pytorch, aws, mlflow

Git, Pytorch, Linux, Python, Cuda, NVIDIA, AMD, Intel

Tensorflow, Python, SimPy, forecasting techniques, time-series modeling, real-time inference pipelines, MLflow, OR-Tools

Github, Machine Learning, Micro Services, Sql, Deep Learning, Gcp, MLops, Docker, Agile, Kubernetes, Python, Big Query, Airflow, TFX, MLflow, R, Vertex AI, Kubeflow

atlassian , Github, Machine Learning, Tableau, Docker, Python, Power Bi, Deep Learning, Neo4j, Kubernetes, Airflow, Micro Services concept, atscale, Big Query SQL, MLflow, MLOps E2E framework, R, Kubeflow, Vertex AI, GCP Services, TFX, Looker, dbt, Agile techniques