Exploring Multi-Agent Reinforcement Learning: Cooperation, Competition, and Scalability
My first multi-agent RL project and how it connects learning dynamics with system-level concerns.
Read moreFrom Engineer to Researcher: Thinking in Machine Learning Systems
How my software engineering background shapes the way I think about scalable and reliable ML systems.
Read moreBuilding Convolutional Neural Networks from Scratch
Implementing CNNs layer-by-layer to understand how they learn spatial features.
Read moreBayesian Linear Regression: Embracing Uncertainty
Why moving from point estimates to distributions over parameters changes how we think about predictions.
Read moreUnderstanding Gradient Descent: Intuition Beyond the Equations
A practical, intuition-first walkthrough of gradient descent and its role in training modern ML models.
Read moreFrom Code to Concepts: My Journey Into Machine Learning
How I began shifting from hands-on software development into a deeper, research-focused journey in machine learning.
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