MLWhiz | AI Unwrapped

How Recommendation Systems Learned to Think

Recsys Series Part 2: From collaborative filtering breakthroughs to generative AI agents that can chat about your preferences and explain their…

Oct 4 • 

Rahul Agarwal

5

September 2025

RecSys Fundamentals: The Art and Science of Digital Matchmaking

Recsys Series Part 1: Master the three core approaches that power every modern recommendation engine

Sep 27 • 

Rahul Agarwal

8

What Production Deployments Taught Me About ReAct vs Function Calling

From Prototype to Production: Hard-Won Lessons for AI Agent Development

Sep 21 • 

Rahul Agarwal

5

July 2025

The 5 Principles That Turn ML Projects Into Business Impact

Why 70% of machine learning projects fail to deliver value, and the engineering-first approach that ensures yours won't be one of them

Jul 18 • 

Rahul Agarwal

1

The #1 Reason Your GenAI Project Will Fail in Production (and the 4 Pillars to Prevent It)

A Technical Guide to Overcoming Operational Nightmares and Exploding Costs in LLM Deployments

Jul 9 • 

Rahul Agarwal

5

Which AI Subscription is Actually Worth Your Money?

The Real-World Guide for Developers and Non-Developers alike

Jul 3 • 

Rahul Agarwal

9

What is GraphRAG and how it works

From Scattered Facts to Connected Intelligence

Jul 1 • 

Rahul Agarwal

5

1

June 2025

How to Crack FAANG Coding Interviews?

The pattern-based approach that transforms coding interviews from impossible puzzles into recognizable problems

Jun 20 • 

Rahul Agarwal

11

Did Apple Just Burst the AI Reasoning Bubble? I don't think so

A shallow dive into Apple's latest research that challenges everything we think we know about reasoning models

Jun 10 • 

Rahul Agarwal

5

Fine-Tuning LLMs: Your Guide to PEFT, QDoRA, and Other Nifty Tricks

GenAI Series Part 5: Mastering Parameter-Efficient Fine-Tuning for Production Systems

Jun 8 • 

Rahul Agarwal

18

May 2025

Building Production-Grade Agentic RAG: Intelligent Recommendation Engines with Agents

GenAI Series Part4: HyDE, Hybrid Retrieval, Re-ranking, and Multi-Agent Systems with LlamaIndex

May 26 • 

Rahul Agarwal

21

Building RAG Applications From Scratch: The No-BS Guide for ML Engineers and Data Scientists

GenAI Series Part3 :Hands-On Code and Optimization Tips for Production Systems

May 16 • 

Rahul Agarwal

27

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