Research

Exploring what's next.

Research notes, experiments, technical investigations, and ideas that emerge from continuous learning and building.

Research Areas

01

Active

Large Language Models

Exploring language models, inference, fine-tuning, context management, and practical applications.

02

Active

AI Agents

Experiments with autonomous systems, tool use, planning, memory, and agent-based workflows.

03

Exploring

Generative AI

Investigating generative models across text, image, video, and other creative modalities.

04

Exploring

AI Systems

Research into model deployment, inference systems, local AI, infrastructure, and performance.

Research Log

Notes,
experiments & ideas.

A chronological record of things I study, test, build, and learn.

2026

Understanding Transformer Architecture

Notes

2026

Experiments with Local LLM Inference

Experiment

2026

Building AI Agents from First Principles

Research

Method

Learn by building.

Research in this lab is closely connected to implementation. Ideas are explored through experiments, prototypes, benchmarks, failures, and documentation rather than existing only as theoretical notes.