Python, RAG systems, CI/CD pipelines, agentic AI systems, DevOps practices for AI, LLM orchestration, vector databases, AI frameworks, prompt engineering, cross-platform development

Jax, Pytorch, Python, production-grade ML systems, building training data for LLMs, domain-specific evaluations

Containers, Testing, Python, Version Control, GenAI, RAG pipelines, agentic frameworks, system reliability, fine-tuning, cloud platforms, LLMOps, vector databases, observability tools, NLP frameworks

data engineering , traceability , Databricks, Azure, GenAI, data pipelines, model training, LLMOps, GenAI Observability, cloud platforms, Ai, Statistics, Explainability, ML models, AI architecture, Llm, finetuning, ethical AI practices, regulatory frameworks, Anthropic models, OpenAI

Docker, Agile Methodology, Kubernetes, CI CD pipelines, full-stack applications, AI technologies

.NET, Databricks, Python, Javascript Frameworks, Apis, Containers, Azure DevOps, cloud-native Azure services, Microsoft Fabric

Kubernetes, Openshift, identity platforms, enterprise APIs, distributed application services

Gcp, MLops, Azure, AWS, Apis, Data Integration, Microservices, Generative AI, LLMOps, Cloud-based data and AI architectures, Agentic AI frameworks, Data AI solution architecture