Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, MLflow, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, Dagster, Lake Warehouse architectures, model monitoring

API design, Gcp, Pytorch, Python development, Azure, AWS, LangChain, GenAI LLMs, Cloud platforms, embedding models, LLM development and fine-tuning, Production ML deployment and monitoring, GPT models, Transformers, Modern AI frameworks

bedrock , Java, Cassandra, Scala, Kafka, API design, Tensorflow, Git, Pytorch, Spark, MongoDB, Kubernetes, Python, AWS, Data Privacy handling, Generative AI, EKS, SageMaker, Security Authentication and Authorization methods, Spark ML

AWS, Pytorch, Tensorflow, Kubernetes, Python, Azure, Gcp, Docker, MLops, Kubeflow, MLflow, Scikit-Learn

Java, Graphql, Oauth2, Prometheus, Jwt, Node.js, API design, Grafana, Datadog, REST, System Design, Kubernetes, OpenID Connect, Go, event-driven architectures, microservices architecture, cloud-native application development

Machine Learning, Pytorch, Tensorflow, gan

Java, Graphql, Scala, Kafka, TigerGraph, MLops, Neo4j, Docker, Spark, Kubernetes, Python, AWS, Airflow, pgvector, Qdrant, Go, MLflow, Flink, Neptune, Kubeflow, Milvus

Machine Learning, Data Mining, Deep Learning, Tensorflow, Pytorch, Gcp, Databricks, Azure, Python, AWS, scikit-learn, Optimization

Databricks, Tensorflow, Machine Learning, Deep Learning, AWS, Pytorch, data mining, Python, Azure, Gcp, scikit-learn, cloud environments, big data infrastructures, Optimization