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

Node.js, Gcp, Python, AWS, LangChain, open-source LLMs, vector databases, Anthropic, AI ML models, API integrations, OpenAI, LlamaIndex

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

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

DataFlow, Tableau, MLops, Power Bi, Python, Google BigQuery, Cloud Composer, Data Mesh, Pub Sub, Dataplex, Data as a Product, Google Vertex AI, FinOps

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