Model Context Protocol (MCP), Python, Observability frameworks, Evaluation pipelines, State management and granular tracing, OAuth-based authentication

Python, multi-agent systems, vector databases

Java, Node, Typescript, Python, Git workflows, agent orchestration patterns, Go, model routing, Mobile, MCP and SDK-based integrations, CI CD, context engineering, Cost Optimization, testing strategies, modern agentic IDEs, prompt design, LLM mechanics, evals

Java, Node, Typescript, Python, Git workflows, agent orchestration patterns, Go, model routing, Mobile, MCP and SDK-based integrations, CI CD, context engineering, Cost Optimization, testing strategies, modern agentic IDEs, prompt design, LLM mechanics, evals

graph databases , Retrieval-Augmented Generation (RAG) solutions, Machine Learning, Artificial Intelligence, C++, Tensorflow, Pytorch, Python, Boolean operations, Generative AI, Geometric transformation algorithms, AI Agents, 3D geometry, Vector databases, Claude, Microservices-based architecture, Reporting libraries, Coordinate systems, OpenAI, Vector mathematics, Prompt Engineering

Pytorch, Python, multi-GPU sharding, TensorRT-LLM, SAM, open-weight foundation models, agentic AI, Hugging Face ecosystem, LLMs, quantisation, Grounding DINO, SGLang, vLLM, DINOv2, Distillation, VLMs, large vision models, MCP