adobe target , optimizely , Tableau, Adobe Analytics, Python, Google Optimize, R

Orchestration, Power Platform, Classical statistics, Tool Function Calling, Generative AI, ML feature engineering, Vector Search, AI applications, structured outputs, model evaluation, Agentic AI, failure handling, Embeddings, experimentation, RAG, Azure AI services, Prompt Engineering, Copilot Studio

Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG

Python, ASR, STT, TTS, Llm, LiveKit

Java, Kafka, Spring Boot, Datadog, Redis, Postgres, Helm, Kubernetes, AWS, LangChain, LangGraph, Temporal

Java, Kafka, Spring Boot, Datadog, Redis, Postgres, Helm, Kubernetes, AWS, LangChain, AI agent engineering, LangGraph, Temporal

isolation), vLLM), Open-source LLMs (Ollama, Security fundamentals (auth, Cloud deployment, Docker, FastAPI, Python, LangChain, Re-ranking models, Vector databases, LangGraph, secrets, Voice AI pipelines, Hybrid search, CI/CD, RAG pipelines, Multi-agent systems, LlamaIndex

Github, Datadog, New Relic, Azure Functions, Docker, FastAPI, Python, Azure DevOps, Application Insights, LangChain, Pinecone, Azure OpenAI, Azure Container Apps, Semantic Kernel, AutoGen, OpenTelemetry, FAISS, Azure AI Studio, Azure AI Search, Weaviate, Azure Monitor