Param Harrison

I spent over 14 years as a software engineer and engineering leader, most of it on a regulated cross-border platform where every case carries a legal deadline. I architected the product that became that business, led the engineering function behind its ISO 27001 certification, and now work hands-on as an AI engineering consultant.

learnwithparam exists because I got tired of seeing engineers struggle with the gap between AI demos and production systems. Every course I build follows the same principle: strip away the framework magic, rebuild the system from scratch, and then apply the knowledge with confidence.

The content covers the full AI engineering stack, from Python fundamentals to building your own AI coding agent. The parts I spend longest on are the ones that decide whether a system survives contact with production: evaluation, tracing, permissions, and cost.

Specialty: Core AI engineering.

• Python fundamentals for AI development
• LLM text generation, structured outputs, and function calling
• Prompt engineering techniques that ship to production
• RAG pipelines: embeddings, vector stores, chunking, retrieval
• AI agents: memory, tool calling, ReAct loops, error recovery
• Multi-agent systems with LangGraph
• AI agent design patterns for production
• MCP (Model Context Protocol) servers and clients
• Building complete AI coding agents from scratch