Software I use, gadgets I love,
and other things I recommend.
I get asked a lot about the tools I use to build software and conduct AI research. This is a living document of the gear and apps that keep me productive.
Workstation & Hardware
MacBook Pro M3 Max (64GB RAM)
Primary machine for local LLM fine-tuning and heavy compilation tasks. Unmatched performance-to-efficiency ratio.
Keychron Q1 Pro (Wireless)
Customized with tactile switches. Essential for long coding sessions and documentation.
Dell UltraSharp 32" 4K (U3223QE)
The built-in USB-C hub is a lifesaver for a clean single-cable setup.
Development Environment
Cursor Code Editor
The first AI-native editor that actually feels like it's augmenting my brain. I rarely use vanilla VS Code anymore.
iTerm2 / Warp Terminal
Rust-based terminal with AI command search. A significant upgrade over vanilla terminals.
JetBrains Mono
My font of choice for the last 4 years. The ligatures and readability are perfect.
OrbStack
Containers and Docker alternative for macOS. Lightweight and fast.
AI & Research Stack
PyTorch
The foundation of all my research work. Flexible, Pythonic, and industry-standard.
Weights & Biases (W&B)
For experiment tracking and visualizing neural network training progress.
Perplexity Pro
My primary search engine for technical queries. Saves hours of sifting through documentation.
ChatGPT / Claude
Brainstorming and code assistance for complex problems.
Productivity & Apps
Arc Browser
The workspace feature is the only way I can manage 50+ open tabs across research projects.
Raycast
The Swiss army knife of macOS. I use it for window management, clipboard history, and quick calculations.
Linear
The only issue tracker that doesn't feel like a chore to use. Fast and keyboard-driven.
Notion
Team docs, specs, wikis, and content drafts.
Todoist
Tasks and task management since 2015.
Obsidian
Notes and personal knowledge management.