Numpy, Pandas, Python Programming, Data Analysis, Telemetry data collection, Data preprocessing, Monitoring frameworks, LLM-based analytics workflows, Feature engineering, Statsmodels, Statistical Modeling, Classification techniques

Docker, Api Integration, MLops, Python Programming, Kubernetes, AWS Bedrock, multi-agent orchestration, semantic retrieval systems, Azure OpenAI, LangGraph, GraphRAG, Vector Databases, Embeddings, Vertex AI, Machine Learning fundamentals, LangChain, Tool Function Calling, LLM optimization, Generative AI, RAG architecture, Semantic Kernel, AutoGen, MCP Model Context Protocol, Agentic AI, AI evaluation observability, AI solution development, Prompt Engineering, Knowledge Graphs

Java, Unix, Machine Learning, Linux, Data Mining, Python, Parsing, Algorithms and Data Structures, High-Performance Computing, Numerical Optimization, Parallel and Distributed Computing

state management , Java, Springboot, SOTA AI frameworks, autonomous decision making, Redis Cache, Google BigQuery, Distributed infrastructure, prompt engineering, LangGraph, LLM or agent-based systems, Kusto, agent communications

Ml, Jenkins, Gcp, Docker, Gitlab, Rest Apis, Azure, Python, Kubernetes, AWS, LangChain, Pipelines, Ai, Pinecone, CI CD, Llm, GitHub Actions, Chroma, FAISS, RAG, Weaviate

Api, Python, LangGraph, Langchain, Agentic AI, LLMs

graph databases , Tensorflow, Nlp, Pytorch, Rdf, Gcp, MLops, Neo4j, Azure, Python, AWS, knowledge graph construction, GenAI, Scikit-learn, DGL, Llm

graph databases , Tensorflow, Nlp, Gcp, Pytorch, MLops, Rdf, Neo4j, Azure, Python, AWS, knowledge graph construction, GenAI, Scikit-learn, DGL, Llm

Developer tools CI CD concepts, APIs integrations and automation workflows, Monitoring logging and troubleshooting approaches, Incident management and escalation handling, Cloud SaaS platforms and engineering ecosystems, AI Generative AI and LLM concepts