"Engineering is applied philosophy" - Bard
I build and ship machine learning systems that live in real products, not just notebooks. My work spans generative models, computer vision and data platforms from early prototypes through to production rollouts.
- Deep learning, LLMs, diffusion models, CV
- Python, PyTorch, TensorFlow, Keras, OpenCV
- GCP, AWS, MLOps, Docker, Kubernetes
PixelGimmick: A self-hosted 16-bit AI asset forge. Running on a tired GTX 1060, bridged via Cloudflare, and upscaled purely with Nearest-Neighbor math because AI upscalers are bloat. 🔗 Enter the Tunnel
Building practical ML systems that people actually use.