Retrieval-Augmented Generation (RAG), Apis, Backend Development, Distributed Systems, Prompt engineering, Vector DBs, LLM observability tracing tools, Llm, LangGraph, Production-grade software engineering, Hybrid search, AI-native systems, Agentic workflows

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

Algorithms, Distributed Computing, Software Development, Technical Leadership, Natural Language Processing, Information Retrieval, Networking, Artificial Intelligence, Ui Design, data structures, generative AI tools, Data Storage, Security, testing and launching software products, software design and architecture, large-scale system design

Cassandra, PostgreSQL, Spring Boot, Microservices, Rest Api, Nosql, React, Javascript, MySQL, Python, AWS, Java, Sql, Figma, Gcp, MongoDB, Azure, Opik, Claude, LangGraph, Multi-Agent Systems, evals, Traces, Langsmith

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

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

Badis, Sap Abap, Agile, RICEW objects, AI Agents, ABAP BAPIs, MCP Servers

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