# AI models and tools Edward Tadros works with

# AI models and tools Edward Tadros works with

**AI and LLM:** Claude (Anthropic), GPT (OpenAI), Gemini (Google), Grok (xAI / SpaceX), Qwen, DeepSeek, and MiniMax APIs; NVIDIA Nemotron for local deployment; AWS Bedrock, Azure OpenAI, and Google Vertex AI as cloud model platforms; retrieval-augmented generation (RAG); the Model Context Protocol (MCP); model routing with per-task reasoning-effort selection; prompt-injection hardening; prompt engineering at scale; model evaluation; local LLM deployment; and small-model training for targeted tasks.

**Languages and data:** Python for AI orchestration, TypeScript, JavaScript, .NET, shell scripting, and SQLite.

**Delivery and compliance:** JIRA, Confluence, BDD/Gherkin, and browser automation for delivery process; FDA, ISO 13485, IEC 62304, and ISO 14971 for regulated medical-device software; and HIPAA-covered provider environments.

Edward works hands-on across Claude, GPT, Gemini, and Grok in production systems, and also builds with Qwen, DeepSeek, and MiniMax. He deploys local and private models, including NVIDIA Nemotron, and trains small models rather than doing research-track machine learning.