Profile banner
Rahul Wale

Rahul Wale

Artificial Intelligence Developer and creator of wales.ai

rahulwale
Ahmednagar, India
Pune, Maharashtra, India
Joined February 2026
Favicon imagemedium.com
Favicon imageinstagram.com
Favicon imagelinkedin.com
Favicon imagewales.ai
Favicon imagetheorg.com

Network

1.3K connections
🎓
BAAP Company Interns
💻
BAAP Company Developers
📊
External AI Data Specialists
🧠
BAAP Company AI Data
🌐
External Full-Stack Developers
🔎
BAAP Company QA Ops
🔒
Cybersecurity Pros

Summary

Focus on production-ready, agentic AI — not just demos. Rahul consistently frames his work around moving models from proof-of-concept demos into reliable, production systems that handle real users, latency, cost and hallucinations. medium+1
Solo-developer, full-stack approach — builds end-to-end stacks. He advocates a lean stack (Python + FastAPI + Flutter) that lets one developer ship backend logic, deploy APIs, and ship cross-platform frontends. medium
Prompt engineering as software engineering — emphasizes structured prompts, JSON outputs, constraints and few-shot examples to make LLMs behave like reliable software functions. medium
Creator and educator behind Wales.AI and an Instagram channel, sharing code, architecture diagrams and prompt templates to help others build production AI. wales+2
Background in software testing and engineering with formal technical education; earlier profiles list experience and skills in API testing, BDD and automation tools. rocketreach+1

Work

Education

Projects

Writing

My 2025 AI Tech Stack: The “Solo Developer” Kit

December 1, 2025

Explains a production-focused stack (Python + FastAPI + Flutter) and tools Rahul uses to build agentic AI as a solo developer.

Favicon imagemedium.com

Stop Building “Toy” AI: The Ugly Truth About Production LLMs

December 1, 2025

Discusses why many AI tutorials fail in production and documents approaches for moving AI from demos to reliable systems (RAG, orchestration, engineering practices).

Favicon imagemedium.com

Stop “Talking” to AI: How to Engineer Prompts for Production

December 1, 2025

Provides a four-step prompt architecture (Persona, Context, Constraints, Format) and advocates enforcing structured JSON outputs and few-shot examples for production reliability.

Favicon imagemedium.com