My Perspectives
Exploring the intersection of Artificial Intelligence, Data Science, and Software Engineering through technical deep-dives and thought leadership.
Brain of a Data Analyst — More Than Just Tools
A successful data analyst is not defined only by tools, but by the balance between technical expertise and human thinking.
🚨 Cloudflare Outage: A Real-World Lesson in Resilience Engineering
Today, several major platforms — including ChatGPT, Perplexity, and Medium — faced widespread 500 Internal Server Errors following what appears to be a Cloudflare-level disruption.
🚀 The 5 Stages of LLM Evolution
LLMs have evolved fast — from simple text prediction to full AI agents
🤖 AI Agents 101 — In a Nutshell
AI Agents use LLMs plus external tools to break complex queries into smaller steps, take actions, observe results, and iterate until they reach the final answer.
10 Data Structures We Use in Daily Life (More Often Than You Think)
Data structures aren’t just academic concepts — they silently power almost everything we do online. Here’s where you see them in action every day
Meta just solved the core limitation that has held RAG back for years.
Traditional RAG doesn’t scale to enterprise complexity — not because of the LLM, but because of the retrieval layer. Chunk-level embeddings, retrieval drift, and noisy context make RAG unreliable, costly, and difficult to govern at scale.