Servicenow, Apis, Workday, Microsoft 365, Python, enterprise integration development, tool calling, multi-agent architectures, agent orchestration frameworks, AI Assisted Software Development Platforms, Retrieval-Augmented Generation, agentic AI architectures, knowledge retrieval, reasoning systems, AI coding tools, Microsoft Copilot, workflow execution, Large Language Models

Power Automate, Rest Apis, Python, LangChain, embedding pipelines, n8n, retrieval design, token management, knowledge base structuring, workflow tools, Azure OpenAI, prompt engineering, cost optimisation, webhooks, Azure AI Studio, LLM concepts, LLM frameworks, Azure AI services, MCP, augmentation strategies, LlamaIndex, RAG architectures

pruning , Machine Learning, Cpu, Gpu, Pytorch, GGML, TensorRT, llama.cpp, acceleration, NPU, ONNX Runtime, real-time systems, ML frameworks, quantization, model optimization

model development , Databases, Machine Learning, Apis, Python, Cloud platforms, Ai, Data Processing, Software development practices, AI ML frameworks

Java, Logging, Redis, Openshift, Kubernetes, Python, LangChain, tracing, vLLM, Elastic, LangGraph, agentic workflows, open-weight models, Langfuse, observability, RAG architectures

Graphql, Vue, Node.js, React, Typescript, Gcp, Docker, Rest Apis, Azure, Python, AWS, LangChain, n8n, pgvector, Qdrant, make, Pinecone, Chroma, LLM APIs, LlamaIndex

graph databases , Pytorch, Docker, Opencv, Flask, Node.js, FastAPI, Python, scikit-learn

Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, Gen AI, LangGraph, LLMOps practices, DeepSeek, Qwen, Google Vertex AI, vector DBs

Node.js, Sql, Nosql, Pytorch, Docker, Kubernetes, Python, LLM-based systems, Memory, embeddings, agent workflows, AI inference patterns, multimodal AI

Java, Microservices, Sql, Typescript, Gcp, Terraform, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, LangChain, LLMs, Go, vector databases, CI CD, Semantic Kernel, LangGraph, hybrid search, RAG, agent orchestration, LlamaIndex