Uses
Tools, software, and hardware I use daily for AI engineering and development.
AI / ML Stack
- PyTorch Primary deep learning framework
- HuggingFace Transformers Model hub & training pipelines
- vLLM High-throughput LLM inference
- LangGraph Agentic workflow orchestration
- Weights & Biases Experiment tracking & model registry
- Unsloth Fast LoRA fine-tuning
Editor & Terminal
- VS Code Primary editor with Vim keybindings
- Claude Code AI pair programming in terminal
- Warp Terminal with AI completions
- Tmux Terminal multiplexer for remote sessions
Infrastructure
- Docker + K8s Containerized deployments
- AWS (SageMaker, Lambda, ECS) Cloud ML platform
- Terraform Infrastructure as code
- GitHub Actions CI/CD and model deployment pipelines
Hardware
- MacBook Pro M3 Max Daily driver
- NVIDIA A100 (cloud) Training & fine-tuning
- Mechanical keyboard Keychron Q1 with brown switches