AI & LLM
Large language models, reasoning, embeddings, transformers, and practical AI tools.
Topics I keep exploring.
This page is a small map of things I keep returning to — ideas, tools, research directions, and everyday interests that shape how I learn and think.
Interests
A topic-based homepage with selective links, short notes, and a cleaner visual rhythm.
Machine Learning
Backpropagation, model intuition, optimization, text understanding, and applied ML ideas.
Reinforcement Learning
Decision-making, PPO, exploration, policy learning, and how agents improve through interaction.
Algorithms & Systems
Trees, hashing, dynamic programming, sorting, and the mental models behind computational structure.
Research & EIT
Research communication, EIT-related topics, experiments, and the process of turning ideas into structure.
Beyond Work
Books, basketball, travel, food, and the small things that make the technical parts more human.