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Резюме от 21 апреля 2024 Файл

Вадим

Senior Machine Learning Engineer

Город проживания:
Киев
Готов работать:
Удаленно

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Vadym Vashchenko
(21.01.1979) Zaporizhzhya
Ukraine
H [открыть контакты](см. выше в блоке «контактная информация»)
Mathematician (ML & DS, AI, OR) B [открыть контакты](см. выше в блоке «контактная информация»)

Education
2014–2017 MSc Studies, TUT, Tallinn.
Control Systems
2007–2010 PhD Studies on Radiophysics, ZNTU, Zaporizhzhya, with excellence.
Radiophysics (8 published articles on the subject listed below, two young scientist grants)
1996–2001 Specialist/Master, ZNTU, Zaporizhzhya.
Computes Systems and Networks

Grants
{ 2018 — Skill recognition award for resolving several computation techniques for Slot Games,
by the central Math Team of Derivco Durban followed by a recognition letter and an award
from Derivco Estonia
{ 2014 — Skype Stipend Winner, TUT, Estonia
{ 2007 — Young Scientist Grant Winner, Kharkiv, Ukraine
{ 2010 — Young Scientist Grant Winner, Kyiv, Ukraine
{ 1998 — Mathematical Olympiad Winner (ZNTU), Zaporizhzhya, Ukraine

My personality
{ I am responsible, having analytical kind of mind, attentive to details, carried away of
Science and challenging tasks, aim towards excellence.
{ I like learning from others and enjoy sharing my knowledge, ready to render assistance if
needed, respect my colleagues.
{ I defend human rights and stand for fraternity and equality — I am openly gay and suffered a
lot from homophobic behavior with no reason — so, if you have a homophobic or xenophobic
working/living environment, please, reject my application ASAP.

You can find me at
Research https://www.researchgate.net/profile/Vadym-Vashchenko
Gate
Experience
Vocational
2022–War Senior Machine Learning Engineer, Samsung SRUKR, contractor.
ML, Mathematical and Physical Modelling, hand meshing, statistical object recognition, ML Project
Deployment — Management — Support, Theoretical investigation of ML & DS models, Advanced
Statistics. Stack: Tensorflow, PyTorch, Samsung ML Cluster

2021–2022 Data Scientist, Playtech, contractor.
Mathematical Modelling, Statistics, Python (ML/DS and scientific ecosystem), Control tasks, Game
theoretical tasks, analysis of player’s behavior.

2018–2020 Mathematician/Developer, Entrepreneur.
Mathematical Modelling, Statistics, Python (ML/DS and scientific ecosystem), NN: PyTorch, TF,
Control tasks: SciLab, Game theoretical tasks, OR/DS/ML, sharpening skills in Machine Learning
and Data Science.

2016–2018 Game Mathematician, Derivco.
Computing RTP and Volatility of Slot Games, creating probabilistic and statistical inference
algorithms, solving forward and inverse statistical tasks using techniques of enumerative combinatorics.

2014–2016 MSc studies, TUT.
Control systems, system modelling, neural networks, master students teaching experience, embedded
and system programming.

2007–2013 PhD studies, ZNTU.
Junior Researcher, teacher and assistant of the Higher Mathematics Department of Zaporizhzhya
National Technical University (ZNTU).

2005–2006 Chief Specialist in the Information and Security Support Department, Index-Bank,
Zaporizhzhya.
Database administration, managing CRON jobs, batching, data security.

2005–2006 Engineer-programmer and later Chief Specialist in the Support Department on a big steel
producing plant, DSS, Zaporizhzhya.
Automation, web-support

2003-2004 Game programmer, AlarIT, Zaporizhzhya.
3D model development, BVH-trees, mathematical modelling.

1998–2001 Teacher of preparatory courses of Physics and Mathematics, ZNTU, Zaporizhzya.
General physics teacher.

2001–2003 Mathematical Olympiad Tutor, Lyceum 99, Zaporizhzya.
Mathematics for Olympiad contest participants.

2001–2003 Teacher of Informatics and Olympiad Tutor, Lyceum 99, Zaporizhzya.
General informatics and Olympiad tutoring.

Languages
English C1 speaking freely
Ukrainian Native native speaker
Russian Native native speaker
Analytical and Scientific Skills
General I can develop mathematical models of real phenomena, create theoretical background for a
given task, deliver appropriately shaped and well documented results; quickly fit provided
working/programming environments; able to implement ideas using several programming
languages yielding high quality software products
Mathematics During my career I used and/or taught several branches of pure and applied Mathematics:
Calculus, Linear Algebra, Tensor Calculus, Riemannian Geometry, Differential Equations,
computational electrodynamics, special functions, theory of algorithms, probability and
statistics, TFCV, mathematical programming and Operation Research — all these with
several years of teaching experience; used Statistics and Combinatorics in developing slot
games; developed ML stacks and provided analytical tools for DS based on Statistical Inference
and various ML Algorithms
Physics Classical Electrodynamics, Radiophysics, General Physics — with research experience for
more than 4 years
Programming Development and mathematical analysis of Algorithms, experience in improving algorithm
efficiency in Radiophysics and Combinatorics
OpRes, Solved various OR tasks using simplex method and special methods, understand Duality
Games, Theory. Created myself the theory of slot games and slot game computational techniques
Algorithms (RTP, Volatility, Game Achievements), solved several algorithmic tasks in computation theory
of slot games
Control Understand control theory in general, theory Linear and Nonlinear control systems, theory of
systems Kalman–Bucy filtering
ML Solid theoretical understanding of theory and structure of Neural Networks and ability to
build NN-controllers - can implement them using PyTorch, Tensorflow, other ML & DS
frameworks, can implement a ML framework myself
OOP Understand well OOP and Design Patterns — used these techniques in developing sev-
eral medium sized and average complexity applications (C++, Java/C# — multithreaded
file server, C# — multithreading slot game computation engine, MATLAB/MathCAD —
Radiophysics projects, control systems)
Embedded Solid understanding of CPU and several computer architectures, soldered and ran Spectrum
myself in young age

Computer Languages
Python Solid understanding of Python - decorators, functional, multithreading, iterators and gentera-
tors, OOP, actively mastering it now. Scientific stack: NumPy, SciPy, Matplotlib, Pandas, a
bit of Bokeh and Datashader, a bit of Dask. Neural networks: PyTorch, Tensorflow (Keras
and Core) and improving now
C, C++ & Algorithms, Templates (C++) and Generics (Java), OOP, STL, Lambdas
Java
Functional Lisp, Haskell — actively mastering Lisp and Haskell, can use functional programming tech-
niques for solving various tasks, studying AI parts of Lisp - Lisp macroprogramming
Low level Assembler (x86, Z80, ATMEGA, ARM), C
Databases Working experience with SQL DB engines (PostgreSQL, MySQL, SQLite), understand and
used ORM (Java/Hibernate), brief understanding of NoSQL DBs
CAD/Office Long term experience with MATLAB/Simulink (radiophysics), SciLab (control), Mapple
(symbolic computations), MathCAD (radiophysics & teaching materials), LibreOffice/Google
Documents/MS Excel sheets (Slot games)
Publishing LATEX - published several scientific articles, use Jupyter/JupyterLab for publishing and
preparing teaching materials
Web HTML/XML/CSS, JavaScript/OOJS — know markup/DOM languages and can code in JS
but haven’t used so much

Containers & Clusters & Hypervisors
Docker Working experience with Docker

CMS & VCS
Git Working experience with Git
SVN Working experience with SVN

OSes
Linux Linux user for more than 15 years - being ArchLinux user now, and familiar with the underlying
philosophies of several Linux distributions (Gentoo, Debian, CentOS). Can automate and
script my tasks using bash, or (ana)cron if needed
Windows Working/system programming experience with MS Windows and its program stack (shell
automation (Indexbank), multithreading and AIO (for several computational projects),
asynchronous operations (wrote distributed file server app), system and security administration
in IndexBank

Current activities
ML & DS Mastering Python frameworks: PyTorch, Tensorflow, Keras; Using Python scientific and
presentation stack — Jupyter(Lab), developing skills in using Neural Networks and ML
techniques
Physics Developing a neural network solver for diffraction tasks based on Physics Informed Machine
Learning approaches
Control Preparing a course on Control Theory
Theory
Statistics Improving my knowledge in the fields of Statistical Inference in general and Information
and Geometry in particular (using works of Wilks, Lehman, Ito, Chentsov, Shun-Ichi Amari,
Information Hiroshi Nagaoka)
Games and Sharpening skills in the game and decision making theories (studying works of von Neumann
Decision and Morgenstern, Blackwall and Girshik, solving tasks)
Making
Programming Training myself by developing algorithms in Functional and Imperative Languages, mastering
Lisp and Haskell (using works of Cormen et al., Paul Graham, Guy Steele, Doug Hoyte),
improving Python skills, LeetCode sometimes

Scientific and General Interests
Mathematics Calculus, Differential and Recurrence Equations, Solving Olympiad Tasks, Mathematical
Logic, Special functions, Control Theory, Game Theory, Information, Stochastics & Statistics
and Information Geometry
Technology Artificial Intelligence, Machine Learning, Data Science, Neural Networks
Physics Radiophysics, Computational Electromagnetics (diffraction tasks in enclosed volumes)
OS .NIX culture, active Linux user and supporter, supporter of FSF and OpenSource
Sports Biking, long distance running, swimming
People who know me professionally
Radiophysics, Higher Mathematics, Physics
{ Prof. Vitaly Chumachenko (ZNTU, radiophysics)
{ Evgeni Sokolov (ZNTU, physics, dekan)
{ Vladimir Pyankov (ZNTU, math, physics, dozent)
{ many good colleagues from ZNTU HM Dept.

Control Theory & Dynamical Systems
{ Prof. Eduard Petlenkov (TUT, control systems dept.)
{ Prof. Juri Belikov (TUT, control systems dept.)
{ Kristina Vassilijeva (TUT, control systems dept.)
{ Aleksei Teplyakov (TUT, control systems dept.)

Machine Learning & Data Science, Data Analytics
{ Snir Madar, chief of DS Dept. (Playtech)
{ Vladimir Savin, chief of ARV & ML Dept. (Samsung, SRUKR)
{ Konstantyn Morozov, chief specialist (Samsung, SRUKR)

Game Theory, Fast Game Algorithms, Game Development
{ Rory Harpur (Derivco, games)
{ Sulona Nattan (Derivco, games)
{ Suja Ramakrishnan(Derivco, games)
{ G3 Team from Los-Angeles (games)

Programming / Algorithms
{ Prof. Viktor Leppikson (TUT, C++, Client/Server programming)
{ Prof. Vello Kukk (TUT, MCU programming)

References
Vashchenko V.V. Effective computational algorithms for slot games with stacked reels.
Private, 2017.

Vashchenko V.V. Slot games with free spins. Private, 2017.

Vashchenko V.V. On achievements in slot games. Private, 2018.

Vashchenko V.V. and Chumachenko V. P. S-matrix of a two-port waveguide junction with
triangular connecting cavity. In Proceedings of 12th International Conference on Mathematical
Methods in Electromagnetic Theory, pages 158–160, Odesa, Ukraine, une 29 - July 2 2008.

Vashchenko V.V. and Chumachenko V. P. On mathematical modeling of a triangular building
block in the analysis of e-plane waveguide structures. In Proceedings of 7th International
Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and SubMillimeter
Waves, Kharkov, Ukraine, June 21-26 2010.

Vashchenko V.V. and Chumachenko V. P. Scattering matrix of a jump of medium parameters
in a rectangular waveguide. Радiоелектронiка. Iнформатика. Управлiння., (2), 2010.

Vashchenko V.V. and Chumachenko V. P. Scattering of lsm modes in an e-plane two-port
waveguide junction with triangular connecting cavity. In Proceedings of 13th Interna-
tional Conference on Mathematical Methods in Electromagnetic Theory, pages Paper AR–3,
September 6-8 2010.
Чумаченко В.П. Ващенко В.В. Решение методом произведения областей Н-плоскостной
задачи дифракции волн на наклонной границе раздела диэлектрических сред в
прямоугольном волноводе. Радiоелектронiка. Iнформатика. Управлiння., pages 5
– 9, 2007.

Чумаченко В.П. Ващенко В.В. О выборе представления поля для базовой треугольной
области в задачах моделирования Н-плоскостных волноводных узлов. Радiоелектронiка.
Iнформатика. Управлiння., 1(1):5–10, 2010.

Чумаченко В.П. Ващенко В.В. О построении математической модели базовой
треугольной области в задачах анализа плоскостных волноводных узлов. Вiсник
Днiпропетровського нацiонального унiверситету. Фiзика. Радiоелектронiка.
Днiпропетровськ: ДНУ, 2010.

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