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

Java, Spring Boot, Microservices, Distributed Systems, Rest Apis, AI platforms, agent frameworks, LLM-powered applications, cloud-native architectures, Microsoft Foundry, Google Vertex AI, AI Governance, AI deployment ecosystems, Agent Core, Amazon Bedrock

Ml, Cassandra, PostgreSQL, Sql, Azure ML, Docker, Apache Kafka, Apache Camel, MongoDB, Rest Apis, Kubernetes, Python, Azure DevOps, LangChain, Event-Driven Architecture, Ai, CI CD, Vector Databases, GitHub Actions, Vertex AI, RAG

Data Quality, Sdet, Python, evaluation datasets, ML engineering, automated scoring pipelines, LLM evaluation

PostgreSQL, Numpy, Git, Pandas, Pytorch, Docker, FastAPI, Rest Apis, Python, Kubernetes, LangChain, Anthropic Claude, scikit-learn, pgvector, Qdrant, MLflow, Azure OpenAI, LangGraph, Ollama, Kubeflow

Java, Google Cloud Platform, Graphql, PostgreSQL, REST, metrics, MongoDB, Azure, Kubernetes, AWS, logs, Event-driven systems, Vector databases, traces, GRPC, Cloud Monitoring, Cloud-native infrastructure, TimescaleDB

Java, C, Distributed Systems, Python, Generative AI, Agentic AI frameworks, RAG systems, cloud-native infrastructure