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@TheAIGuy01

Surya Pratap Rout

@TheAIGuy01

AI Engineer | AI, explained from first principles.

Joined January 2026

About

Associate AI Engineer at GyanSys Inc. Building production-grade AI systems with Python, FastAPI, and GenAI. Specializing in: • RAG architectures & vector databases • Agentic AI workflows • Cost-optimized LLM deployments 📍 Bengaluru, India 💼 1+ years in AI/ML engineering 🔗 GitHub: https://github.com/TheAIGuy-org 🔗 LinkedIn: https://www.linkedin.com/in/surya-pratap-rout-b1887b200/ Sharing real-world implementations, not theory. Every tutorial includes production code and cost analysis.

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Surya Pratap Rout's blogs

Surya Pratap Rout - TheAIGuytheaiguy.hashnode.dev2 posts

About

Associate AI Engineer at GyanSys Inc. Building production-grade AI systems with Python, FastAPI, and GenAI. Specializing in: • RAG architectures & vector databases • Agentic AI workflows • Cost-optimized LLM deployments 📍 Bengaluru, India 💼 1+ years in AI/ML engineering 🔗 GitHub: https://github.com/TheAIGuy-org 🔗 LinkedIn: https://www.linkedin.com/in/surya-pratap-rout-b1887b200/ Sharing real-world implementations, not theory. Every tutorial includes production code and cost analysis.

Available for

Nothing here yet.

Surya Pratap Rout's blogs

Surya Pratap Rout - TheAIGuytheaiguy.hashnode.dev2 posts

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Recently published

SPSurya Pratap Routintheaiguy.hashnode.dev·Jan 28 · 17 min read

Why Your LLM is Burning Money in Production (And You Have No Idea)

You deployed your RAG-powered customer support system two weeks ago. Initial projections: $500/month. The actual invoice: $10,247. Panic sets in. You open the OpenAI dashboard, just a single number: "Total tokens used." No breakdown by endpoint. No u...

SPSurya Pratap Routintheaiguy.hashnode.dev·Jan 19 · 20 min read

Building Production-Grade Hybrid RAG Systems: Knowledge Graphs + Vector Search for Agentic AI

Why Your RAG System Is Probably Failing (And How to Fix It) Picture this: Your company just deployed a RAG-powered AI assistant. Initial demos impressed stakeholders the system answered questions about internal documentation with seemingly perfect ac...