secure coding , Argo, Solid Principles, MLops, Reactjs, Kubernetes, Python, CrewAI, Airflow, Static Analysis, MLflow, LangGraph, AutoGen, Kubeflow, LlamaIndex

AWS EKS, Kubernetes, LLM evaluation frameworks, semantic search concepts, SRE or observability domains, retrieval-augmented generation, embedding models, Claude API, LLM systems, prompt engineering

Azure Cloud Services, Python, LangChain, CrewAI, AutoGen, GitHub Copilot, Qdrant, Azure AI Search, Pinecone, LlamaIndex, Azure AI Foundry

Nosql, Devops, RDBMS, MLops, Gcp, Api, Puppet, Azure, AWS, Generative AI, Langchain, Chef, Llm, Agentic AI, Cloud Development, Langgraph, AWS SageMaker, RAG, MLFlow, Amazon Bedrock

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

Uipath, Api Management, Aws Services, Power Automate, Functions, Rpa Tools, Lambda, Docker, Api Gateway, AWS Bedrock, AKS, Azure OpenAI, AI automation architectures, Azure services, Microsoft Power Platform, container orchestration

graph databases , Python, vector stores, embeddings, rerankers, production RAG search, ML backend engineering, IR systems

Java, Algorithms, C, data mining, Tensorflow, Pytorch, Gcp, Linux, Docker, System Design, data structures, Rest Apis, Azure, Kubernetes, Python, AWS, Visualization, scikit-learn, Go, Statistics

Machine Learning, Databricks, Kubernetes, Python, AI ML engineering concepts, containerisation, CI CD, prompt engineering, cloud-native deployment, AI coding tools, RAG, agentic frameworks, Large Language Models

Typescript, Python, evaluation methodology, model fine-tuning, LLMs, evaluation frameworks, Go, synthetic data pipelines, AI system optimization, prompt engineering