test suites , Software Engineering, Python, AI LLM evaluation frameworks, agentic AI concepts, Quality Measurement, evaluation harnesses, AI reliability and safety, LangGraph, Google Vertex AI, benchmarks, LangChain, tool function calling, AI ML engineering, agent behavior evaluation, latency analysis, LLM agent orchestration frameworks, behavioral anomalies, decision-making, multi-step workflows, applied machine learning, OpenAI, Amazon Bedrock, autonomous execution, LlamaIndex

C, Debugging, Pytorch, Python, TensorFlow Lite, TOSA, ONNX, cross-compilation, Profiling, torch-mlir, MLIR, IREE, build systems, quantization, Linalg, LLVM

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Tensorflow, Python, Java, Azure Cloud Services, Context engineering, Prompt engineering, Embedding, Azure OpenAI, LangGraph, A2A, Agno, Spring AI, Pydantic, Real-time data integration, Azure AI Search, AI application development, LangChain, Deployment and optimization, Vector databases, Functional Calling, Chunking strategies, Agentic RAG, MCP, Cloud-based AI model integration, LlamaIndex

Machine Learning Algorithms, Deep Learning, fine-tuning, ML Algorithms, prompt engineering, Retrieval-Augmented Generation

Machine Learning, Deep Learning, Python Programming, Data Analysis

Unix Shell Scripting, Automation, Python, Git, PowerShell, Rest Apis, Microsoft Copilot, Microsoft Copilot Studio, CI CD, Generative AI, Prompt engineering

Pytorch, Java, Tensorflow, Python, R, NLP techniques