About
About This Blog
This blog is my personal study log. I write about the machine learning and engineering topics I am actively learning and using at work — PyTorch internals, GPU environments, model optimization for edge devices, and the practical side of working with large language models.
Writing things down forces me to actually understand them. Publishing them keeps me honest: every article here is reviewed and fact-checked before it goes live, and I correct posts when I find mistakes.
About the Author
I write under the name B1ack. I work as an algorithm developer for IMU sensors and image processing. My day-to-day work involves sensor signal processing, computer vision pipelines, and deploying models to resource-constrained hardware — which is why topics like CUDA setup, pipeline profiling, and quantization show up often on this blog.
What You Will Find Here
- Deep learning framework internals and practical usage (PyTorch, JAX)
- GPU and development environment setup guides
- Model optimization for edge and embedded targets
- Notes on evaluating and integrating large language models
Get in Touch
Found an error, or want to discuss a topic? See the contact page — I read every message.