I am a Machine Learning enthusiast with a motivation of building ML integrated apps. I am currently exploring the groundbreaking ML / DL papers and trying to understand how this is shaping the future.
I am available for mentoring ML learners and practitioners.
Jun 24, 2025 · 3 min read · Part 1: Building the AI Agent 1. Understanding the AI Agent Concept An AI agent is a system that perceives its environment through sensors and acts upon that environment through actuators. For our simple agent, we'll create a rule-based chatbot that ...
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May 7, 2025 · 4 min read · Linear algebra is the backbone of machine learning, computer graphics, robotics, and so much more. But to unlock its full potential, you need to deeply understand its key ideas — not just memorize formulas. In this article, we’ll walk through matrix ...
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May 6, 2025 · 3 min read · In the world of artificial intelligence and optimization, differentiability is not just a mathematical nicety — it’s a critical enabler of nearly everything we train, tune, and learn. But why does smoothness matter so much? And what happens when our ...
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May 6, 2025 · 3 min read · Probability can be simply as how likely something is to happen. Whenever we are unsure of the result, we tends toward there is certain chance of this happening. And, the analysis of events governed by probability is called statistics. Here are some r...
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May 6, 2025 · 3 min read · How doctors, probabilities, and code come together to make smarter diagnoses Introduction What if we could reason like a doctor — but with math? In this post, I’ll walk you through how I built a Bayesian Inference-based Diagnosis Assistant in just on...
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