Microservices, Deep Learning, Machine Learning, AWS, Kubernetes, Azure, Orchestration, Gcp, Apis, knowledge graphs, production-grade AI inference pipelines, Llm, Ai, cloud-native platforms, observability, reinforcement learning, DevOps practices, streaming systems

graph databases , Sparql, Python, Neo4j, Rdf, Git, semantic technologies, AI orchestration frameworks, Cypher, rdfs, owl, Amazon Neptune, Graph RAG, ontologies, RAG, SHACL, AWS Bedrock, Knowledge Graphs, Agentic AI, cloud-native Generative AI

Java, Automated Testing, Cloud Technologies, DevSecOps, Software Engineering, Salesforce, Generative AI, AI Agents, Agile delivery, AI-assisted development platforms, AI Governance, Data Platforms, Microservices Architecture, nCino, Prompt Engineering, Observability, Platform Engineering, Lending Platforms

Distributed Systems, Data Architecture, Software development best practices, Data engineering best practices, Big data platforms, Data pipelines, Data Product Lifecycle Standards and Practices

Distributed Systems, Data Architecture, Data pipelines, Data Product Lifecycle Standards and Practices, Big data platforms, Data engineering best practices, Software development best practices

Distributed Systems, Data Architecture, Java, Apache Airflow, Nosql, Gcp, Hadoop, Scala, Spark, Python, AWS, Software development best practices, Big data platforms, Data pipelines, Luigi, Cloud platforms