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By Krishna Tejpratap Singh A machine learning model can perform well during development and still struggle in production. One reason is that the data used to train the model may differ from the data supplied to it when making real-world…
An AI agent can take a data scientist from a blank notebook to a trained, evaluated model and help diagnose production … How can AI agents help data scientists build, debug and productionize ML models? An AI agent can take a…
I thought the experiment was unnecessary. Michael had nothing to prove, and our team was already using AI successfully. But he believed senior engineers were entering a strange period in which their experience was becoming harder to distinguish from the…
See what 2026 benchmarks show about AI agents and data science, where agents excel, where they fail, and how to use them. I used to think the … Can an AI Agent Complete an Entire Data Science Project? See what 2026 benchmarks show…
When it was time to buy a new laptop, I did what any computer science student with too many ambitions and an internet connection would do. On one side was the MacBook. Beautiful display, impressive battery life, Apple Silicon, and…
"Retired Scientist & Google Workspace Referral Partner. Read more in my About section." 1 The AI Learning Paradox: Moving Beyond Disconnected Answers A ChatGPT Project solves this by serving as a centralized workspace where related conversations, reference files, and custom system instructions…
Subtitle: How to compare machine learning models in real-world environments, evaluate business impact, and promote better models without risking production reliability. By Krishna Tejpratap Singh Building a machine learning model that performs well on a training dataset is only one…
Every engineer building autonomous AI agents in 2026 runs into the same wall: the flat-context trap. Whether you use Redis key-value strings, Vector RAG embeddings, or rolling JSON arrays, existing agent memory architectures suffer from three fatal flaws: To solve this,…
Python is widely used in programming, Data Science, Artificial Intelligence, and Machine Learning. One of the most useful concepts to learn early is the Python list. A list allows you to store multiple items in a single variable and work…
Imagine you have a list of product prices: You want to increase every price by 10%. Then you want to find only the products that cost more than ₹200. You could write multiple loops. But Python provides tools that can make these…