Pyspark, Sql, ELT, Git, Spark, Rest Apis, Python, Etl, OneLake, GenAI application development, Llama.cpp, Ollama, Lakehouse, Microsoft Fabric, Large Language Models

Git, Docker, Excel, Python, Full-stack development, AI and LLMs, Prompt engineering, MCP servers or clients, RAG pipelines, Multi-agent systems

Azure OpenAI / Azure AI Services, Python / GenAI Application Development, LLM Integration + AI Agents + APIs

Java, API design, Python, Distributed Systems, Logging, LangChain, LangGraph, Open-weight models, Prompt orchestration, tracing, Production resilience patterns, Agentic workflows, Troubleshooting, Tool calling, Observability

Python, Evaluation frameworks, Bias testing, Fine-tuning, Responsible AI, LLM Agentic AI systems, Data Science fundamentals, Experimental Design, Measurement error analysis, RAG prompt optimization, Retrieval methods, Audit artifacts, Statistical thinking, Embeddings, Classification, Reliability concepts, Extraction, Evaluation methodology, Calibration, Applied NLP skills, Privacy leakage checks

Java, API design, Distributed Systems, Python, Logging, LangChain, Troubleshooting, LangGraph, Open-weight models, Prompt orchestration, tracing, Production resilience patterns, Agentic workflows, Tool calling, Observability

Machine Learning, Aws Services, Java, Deep Learning, Python, Docker, Kubernetes, LLM APIs, AI agents, DevOps practices, Microsoft Azure services, Multimodal AI models

state management , Google Cloud Platform (GCP), Retrieval-Augmented Generation (RAG), Apis, Python, LangGraph, Observability frameworks, Evaluation pipelines, Vector databases, Multi-agent systems