alvis/vault
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Initial commit: vault notes

Browse Source 
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Alvis
2026-06-14 10:15:06 +00:00
commit dfe1f90f51
15 changed files with 736 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
Essays/Water on sky to water on the earth.md Normal file
View File

@@ -0,0 +1,7 @@
It has been long time since I graduated my first university. I received my BSc in General Physics in 2014, then received two MSc in Math and Machine Learning, and PhD in Computer Science in 2019. The journey was long and thorny, I tried many different research and industrial directions. In Huawei I finally feel how every bit of accumulated skill and experience converges into a completed puzzle - an artistic tool which I can now apply to make the world a better place.
Huawei is a very special place, and I think it always has been a destiny to go so long up the hill to finally arrive here. What I enjoy the most is the opportunities the company provides. In my university studies I was dreaming about inventing something significant, to make a technological breakthrough. However, in real world inventions need to be patented, and creating a new product requires a huge professional team, which I couldn’t afford just by myself. In Huawei, research department is extremely powerful and professional. Any engineer can share his invention, and if an idea is good enough, then the company will always support it by awards, academic and industrial cooperations, patents, and ultimately integration to the product line.
Most importantly, the company invests in many directions, including short-term urgent tasks, and long-term strategic directions. The long-term directions are alike creating a completely new products. I feel very excited that I can contribute to such directions as well. Our team is focused on finding new applications of Machine Learning and AI technologies in optical product line. We have contributed with solutions to optical digital signal processing, optical control chips for robotic automation systems, various computer vision solutions, data-based discrete optimization techniques, machine learning for FTTR Wi-Fi link adaptation. Now we focus on large model inference optimization in Access Network, and AI-native adaptation of physical and data layers to fit the future requirements of our customers. The company keeps pace with the rapidly changing and growing AI field, and supports our courage to look for and anticipate the groundbreaking technologies of tomorrow.
What is working in Huawei for me? It is like observing a natural balance of water in the world. It comes from skies full of inspiration, shining in the light of beautiful ideas, to the ground, cognized and reliable, supporting and praising life on earth. It also comes from rivers and oceans, that connect people, back to the sky, to support the ideas of the future. I’m proud of being part of it.