SUDHEESH K. REDDY AI Engineer  ·  Hyderabad

The AI engineering
knowledge base
you wished existed.

Four years of production LLMs, RAG pipelines, and ML systems — documented with code, trade-offs, and the failures you won't find in tutorials.

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Open to new opportunities
4 yrs AI/ML in production
500K+ Users in RecSys
29 Knowledge pages
6 ML system designs

Knowledge Base

Production depth.
Not another tutorial.

Every section is built around real production challenges — not what the docs say, but what breaks at 3am and why. Code that runs, pitfalls that cost weeks.

Explore all sections
AI Engineering 12 stages
AI Engineer Roadmap

FastAPI → RAG → Agents → Inference → Safety → Ship. Every stage has production code, pitfalls, and interview Q&A.
LLMs & NLP 8 stages
Language Systems

Transformers, prompting, retrieval, agents, cost control, and reliability — with trade-offs at every layer.
Foundations 3 tracks
ML Foundations

AI/ML theory, statistics, and deep learning as durable mental models — before tools, not after.
Interview Prep 3 guides
Interview Preparation

System design frameworks, LLM evaluation rubrics, and STAR stories grounded in real production work.

Selected Work

Where it was built.

All experience
AI Engineer

LLM Systems & Production AI

Built and deployed LLM-powered search, RAG pipelines, and real-time inference systems. FastAPI, LangGraph, vLLM, Qdrant.

LLMsRAGFastAPIvLLM
Data Scientist

Recommendation Systems & NLP

Collaborative filtering, NLP classification, and A/B experimentation pipelines serving 500K+ user events in production.

RecSysNLPMLOpsA/B