Large Language Models (LLMs), Spark SQL, Sparql, Rdf, Microsoft Azure, Python, GenAI, OWL ontologies, Cloud platforms, Microsoft Fabric

Maven, Json, JUnit, Docker, MySQL, Gitlab, Python, AWS, Java, Github, Google Cloud Platform, Mariadb, Sql, TestNG, Gradle, Mockito, Bitbucket, Restful Apis, Azure, Kubernetes, Git, Php, Laravel, AI Tools, Agent Integration, CI/CD development lifecycle, Queue-based architecture, SaaS Environment, Object-oriented programming, IaC, Microservices architecture

Java, Regression Testing, Typescript, Containers, Kubernetes, Python, runtime guardrails, orchestration frameworks, CrewAI, observability for non-deterministic outputs, serverless, Go, retrieval-augmented generation agents, Semantic Kernel, AutoGen, LangGraph, vector stores, observability stacks, tool use prompt design, Model Context Protocol tooling, LLM-powered applications, prompt and agent versioning, evaluation and LLMOps practice

.NET, Json, Automated Testing, Sql, Nosql, Git, REST, Docker, Microsoft Azure, Azure DevOps, observability monitoring, MCP

Machine Learning, Software Development, Testing, Software Design, Programming Languages, Deep Learning, Debugging, ML infrastructure, Data Processing, model deployment, reinforcement learning, model evaluation, launching software products, Optimization, Ai Development

Java, Machine Learning, Kafka, Tensorflow, Hive, Pytorch, Spark, Kubernetes, Python, Airflow, Ray, Kubeflow

Grafana, Elk, Incident Management, Redis, Python, Graphql, Apis, REST, PostgreSQL, Go, Data Lakehouse, ClickHouse, AI tools, SLOs

Verilog, Python, SDC, DEF, AI LLM-based tooling, UPF, LEF