Kafka, Kotlin, React, MS SQL, Docker, Openshift, Kubernetes, Python, LangChain, NoSQL databases, vector databases, embedding models, OIDC authentication, FAST API, event-driven programming, LlamaIndex, AI application development

Spring Boot, Angular, Microservices, React, Docker, Agile, Selenium, Python, AWS, Java, TestNG, Git, Gcp, Rest Apis, Azure, pgvector, GPT-4o, Pinecone, Claude, LangGraph, Chroma, LangChain, CrewAI, N8N, Codex, GitHub Copilot, Cypress, Gemini

Gcp, Containers, Azure, Python, AWS, LangChain, embeddings, LLMs, Hugging Face, LLM GenAI delivery, cloud platforms, vector databases, Pinecone, Anthropic, Claude, CI CD, Monitoring, LangGraph, FAISS, RAG, ChromaDB, semantic search

Pyspark, Sql, Databricks, Python, Airflow, LLMs, RAG frameworks, knowledge graphs, vector databases, machine learning fundamentals, Temporal, dbt, feature engineering

ECS, Python, Kubernetes, pgvector, RAG systems, Qdrant, Vector databases, Fast API, LangGraph, SageMaker, ECR, AWS stack, Conversational AI, DSPy, ML systems, Amazon Bedrock

Api Integration, Python, Generative AI, Retrieval Augmented Generation RAG, Google Cloud Platform Vertex AI, RAG Systems, Product Quality KPIs, Conversational AI NLU, Agentic AI, Large Language Models LLM tuning, LLM GenAI, Architecture System Design, Natural Language Processing NLP

Cloud Architecture, Tensorflow, Pytorch, Docker, FastAPI, Kubernetes, Python, LangChain, AWS Bedrock, scikit-learn, vector databases, Pinecone, PGVector, LLM-based frameworks, FAISS, MLOps tools, AI ML libraries

Apis, Python, LangChain, CrewAI, vector search, LLMs, n8n, re-ranking, vector databases, retrieval chunking, prompt engineering, RAG pipelines, GPT-4

Apis, Debugging, Python, Automation workflows, GenAI, Logs, Datasets, AI outputs, LLM systems, Analytical problem-solving

Python, ethical AI frameworks, Responsible AI, industry standards, Regulatory Requirements, risk assessment methodologies