Solution Architect, 🇮🇳
Systems thinking,
written down.
I'm Abhishek Saha. I build distributed systems and enterprise platforms by day, and write about AI, architecture, and the plumbing behind the demos by night.
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Part 2 — Enterprise Master Data Cleaning
Embeddings and Vector Search, Step by Step: Finding Duplicate Suppliers
Learn embeddings, distance, vector databases, semantic search and a mini RAG one step at a time, by finding duplicate suppliers in a small dataset.
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Part 1 — Enterprise Master Data Cleaning
Enterprise Master Data Cleaning: The Business Case for SAP Supplier Data
Why dirty vendor master data quietly costs enterprises millions, how AI helps, and the operating model that makes it safe. Part 1 of the series, for business and leadership.
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Part 15 — AI Demystified
How Do You Know AI Is Actually Working?
Demos always look good. Production AI degrades silently. Here's the evaluation framework — from exact match to human review — and how to catch hallucinations.
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Part 14 — AI Demystified
Latency, Tokens, and Cost — The Physics of AI Products
Why is AI slow? Why does it cost money? What does streaming actually change? The mechanics of inference, visualized.
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Part 13 — AI Demystified
Do You Really Need GPT-4?
Frontier models are impressive — and often the wrong choice. Here's the model selection map: cost, capability, latency, and when local wins.
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