Github, Functions, Data Modeling, Unit Testing, Pyspark, Nosql, Databases, Software Development Lifecycle, Docker, Python, AWS, Triggers, Sql, Numpy, Pandas, Gcp, Databricks, FastAPI, Azure, Kubernetes, embeddings, functional programming, SQL optimization, schema creation, Normalization, LLMs, cloud platforms, prompt engineering, Generative AI solutions, database architecture design, retrieval techniques

PostgreSQL, Git, Docker, Rest Apis, Python, GenAI, LLMs, Microsoft Foundry, Azure OpenAI, Semantic Kernel, LangGraph, AI agents, Azure AI, Microsoft Agent Framework

System Design, Application Development, Python, Testing, Databricks, Kubernetes, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems, CI/CD, Containerisation

Kubernetes, Node.js, Java, Python, Docker, Generative AI or LLM-based solutions, DevOps practices and tools, Prompt engineering

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

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

Docker, FastAPI, Python, Cloud deployment, LangChain, LangGraph, multi-agent systems, security fundamentals, vector databases, AI LLM systems

Python, LangChain, LLMs Prompt Engineering, Custom Guardrails, Vector Embeddings Semantic Search, MLflow, Multi-Agent Orchestration, LLM Evals, LangSmith, LangGraph, AI Observability Tools, RAG, Agent Engineering

data engineering , Machine Learning, Deep Learning, Python, Tensorflow, Cloud Computing