You've reached my personal GitHub page!
Let this README.md be my CV 😉 (not sure it's supposed to be that though)
| Period | School | Programm | Website |
|---|---|---|---|
| Sep 2007 - Aug 2018 | Liceum 146, Kazan | just a normal high school, 11 grades | -link- |
| Sep 2018 - Aug 2022 | Moscow Institute of Physics and Technology |
|
mipt.ru |
| Oct 2022 - Mar 2025 (expected) | Technical University of Munich |
|
tum.de |
| Period | Position | Company |
|---|---|---|
| Oct 2019 - Oct 2022 | Private Mathematics Tutor | self-employed |
| Jun 2022 - Oct 2022 | Student Intern | Schlumberger Moscow Research Center |
| Mar 2021 - Oct 2023 | Research Assistant | Russian Academy of Sciences & Institute of Applied Mechanics |
| Feb 2023 - Oct 2023 | HIWI Student | TUM Robotics Lab |
| Jan 2024 - present | Working Student | ASMPT Germany |
| . | CEO/COO/CFO | your company here! |
| Date | Title & Link | Notes |
|---|---|---|
| Jan 2022 | Reinforcement Learning for Attitude Control of a Spacecraft With Flexible Appendages | International Astronautical Congress (IAC2022) conference paper |
| Jun 2022 | Verification of Solutions to Wave Equations Using Integral Transformations | Bachelor of Science graduation thesis (not published), code |
| Sep 2022 | Normal Vibrations of Sagging Conductors of Overhead Power Lines | Mechanics journal paper in colaboration with the Russian Academy of Sciences (RAS) |
(more to come!)
- International Astronautical Congress 2022 (IAC2022), Paris, France, Sep 2022.
- My team presented our research on reinforcement learning for attitude control of a spacecraft with flexible appendages (see above)
- HackaTUM 2022, Munich, Germany, Nov 2022.
- My team solved the challenge problem of Rohde & Schwarz about the microwave imaging technology (see code here)
- Ferienakademie 2023, Sarntal, Italy, Sep 2023. (see the photos below)
- I participated in the seminar course "Stochastic Evolution Equations: From martingales to applications" by Prof. Dr. rer. nat. Johannes Zimmer and Prof. Dr. Günther Grün (see course description here)
- there I gave a lecture on thermodynamic parametrization of the neural networks based on this paper (my code experiments for the talk)
- there I also went to many hikes and had a lot of quality time with my fellow students and professors (I hope they take me again next year 😋)
- HackaTUM 2023, Munich, Germany, Nov 2023. (see the photos below)
- My team solved the challenge problem of Optiver about the market making with sentiment analysis on the news (sadly, I can't share the code because the organizers asked us not to)
| Language | Level |
|---|---|
| English | C1/C2 |
| German | B1 |
| Russian | native |
| Tatar | native |
Note
I'm not a big fan of how this section looks like. Please, submit your formatting suggestion here: #1.
Colour coding:
🟣
- 🟣 Python
- 🟢 numpy 🟢 scipy 🟢 matplotlib
- 🟢 pandas 🟢 plotly
- 🟠 (plotly) dash, dmc
- 🟠 pytorch
- 🟠 pygame, pygame_gui
- 🟠 pytest, unittest
- 🟠 sympy
- 🔵 sqlite3, sqlalchemy
- 🔵 tkinter 🔵 streamlit
- ⚪ flask
- other: google api, telebot, beautifulsoup
- 🟠 C++
- 🟠 SQL
- 🔵 MATLAB
- ⚪ Rust
- ⚪ R
- ⚪ Julia
- 🟣 creating lists in markdown
- 🟣 VSCode
- 🟢 git (+GitHub[actions, pr, issues, yada-yada], GitLab)
- 🟠 LaTeX (mostly in Overleaf)
- 🟠 MSOffice (duh...)
- 🔵 SolidWorks
- 🔵 Linux (Ubuntu)
- 🔵 Azure DevOps Servers (fna TFS)
- 🔵 Docker
- 🔵 Figma
Here are some courses I took during my studies.
| Mathematics | Physics | Informatics and Computer Science |
|---|---|---|
| Calculus I/II/III | Mechanics | Machine Learning |
| Linear Algebra | Thermodynamics | Deep Learning |
| Probability Theory and Statistics | Electricity and Magnetism | Algorithms and Data Structures |
| Differential Equations | Optics | Parallel Programming |
| Partial Differential Equations | Nuclear Physics | Information Retreival in High-Dimentional Data |
| Numerical Analysis | Fluid Mechanics | Data Analysis |
| Complex Analysis | Solid Body Mechanics | Visual Data Analytics |
| Mathematical Modelling | Theoretical Mechanics | Machine Learning for Graphs and Sequential Data |
| Game Theory | Practical Labs (in all of the above) | Deep Learning in Physics (seminar) with this paper (see picture below and timelapse here) |
| Numerical Programming I/II | Quantum Mechanics | Computational Neuroscience |
| Statistical Physics | ||
| Control Theory | ||
| [Image Processing in Physics}(https://academics.nat.tum.de/org/mh/details/mod/PH2181/) |
I like and sometimes do these things: ...
- piano (check out this clip) and guitar
- digital photography (search
#phhashtag in my personal Telegram channel) - teaching (coding, for example; there's also math olympiades, but it's all in Russian)
- swimming, cycling and hiking
- learning
- coding
- algorithms,
- puzzle games
- coming up with coding problems
- writing unreadable one-liners in Python: check out here (and feel free to add more)
- check out my progress on leetcode and on ProjectEuler (add me as a friend:
1806518_hxYZDigZ3jQjJZgworwIBfFyol0Qwaj8)
Send me an email: airat.valiullin@tum.de or
