AI ML, Distributed Systems, integration design, Python, Apis, RAG pipelines, agent-based patterns, system architecture patterns, cloud or hybrid environments, AI workflows

Javascript, Python, Zapier, n8n, LLM APIs, automation tooling, vector databases, make, document retrieval systems, RAG architectures

Java, Typescript, DevSecOps, Python, AWS, LangChain, CrewAI, Go, vector databases, evaluation harnesses, prompt engineering, LangGraph, RAG architectures

Ml, Gdpr, VMware, MLops, AWS, Azure, Gcp, Generative AI, Responsible AI practices, Ai, Containerisation, CCPA, RAG pipeline development, AI Agents, LLM fine-tuning, Vector search, FinOps, Prompt engineering, AI governance frameworks

Scipy, Tensorflow, Numpy, Pytorch, Pandas, Python, data pipelines, engineering tools, machine learning libraries, agentic AI systems, data APIs, monitoring evaluation and validation

Retrieval-Augmented Generation (RAG), Sql, Python, Azure, Gcp, Microservices, Tensorflow, Pytorch, AWS, ML Frameworks, Generative AI Concepts, Agentic AI Frameworks, Cloud Platforms, Prompt Engineering, Vector Databases, Pinecone, Weaviate

messaging platforms , Docker, Python development, Rest Apis, Kubernetes, Model Context Protocol, agent orchestration frameworks, event-driven architectures, prompt engineering, workflow orchestration platforms, Relational Databases, OpenAPI-based services, Large Language Models

Java, Machine Learning, Predictive Modeling, Python, Correlation analysis, Spc, Statistical methods, Ai, Doe, anomaly detection

Deep Learning, Tensorflow, Machine Learning, Pytorch, Python