AI / LLMs / C/C++ / Python / CUDA / Algorithms / SIMD / Raytracing / Trading

Out of ~30 million programmers worldwide, only a few thousand know Algorithms & Data Structures better than I do, which is proven by programming competitions. Please, contact me if you need that skill level (top 0.01%).

I can do algorithmic/performance work in C/C++, Python, SQL, Java, MQL4, MQL5, C#, Assembly, JavaScript, and probably other languages.

- With unique skills in Algorithms & Data Structures, I improve programs asymptotically (often 100 or more times on large input data).
- 28 years of programming (started Basic and assembler on ZX Spectrum), 23 years of C/C++, 15 years of commercial work experience + 3 years of research projects.
- Contributed to widely used Open Source projects: LLVM/Clang (my contribution is XRay profiler on ARM32 and AArch64 systems), Katana Graph (multiple small contributions mostly driven by the proprietary part where I do GPU/CUDA), CBMC "C Bounds Model Checking" (I contributed parallelized output of DIMACS formatted Boolean Satisfiability formula), oatpp (C++ web framework, I contributed bug-fixes), OWL (OptiX Wrapper Library, I contributed build fixes for Ubuntu), Galois (research project for distributed computations on graphs, I contributed GPU improvements)
- Actively participated in bug reporting and reproduction (for NVIDIA CUDA, Cadical&kissat boolean satisfiability solver, JBOSS, MariaDB, Tensorflow, Linux, etc.)
- Led several open-source projects of my own: ProbQA (URLs upon request - a video game recommendation system based on high-performance Bayesian inference engine with CUDA, SIMD, and multi-threading); InSoAr (automatic reconstruction of software architecture from source code, URL upon request ), a multi-threaded Boolean Satisfiability solver of my own, etc.

Working for hire, implemented:
- efficient multi-threading, scaling real-world workloads almost linearly with the number of CPU cores (128x for AMD Ryzen Threadripper 3990X)
- SIMD vectorization (SSE/AVX), up to 8x improvement in computing thread or even copying (see my "Faster alternatives to memcpy" answer on Stackoverflow, URL upon request).
- cache-aware algorithms: up to 50x improvement on some workloads
- up to 20 trillion operations/second in CUDA (thousands of times faster than CPU)
- up to the theoretical limit (6.8 Gigarays/second on RTX 2080 laptop GPU) in ray-tracing with OWL and OptiX
- AVX512 and RTM (Restricted Transactional Memory) based acceleration, 16x improvement for float numbers

13K reputation on Stackoverflow: https://stackoverflow.com/users/1915854/serge-rogatch
- top 5% C++, random
- top 10% algorithm, C, C++11, Linux, performance, Visual Studio
- top 20% C++14, floating-point, multi-threading

Achievements in competitive programming:
-  2 bronze medals at International Olympiads in Informatics (Sarge Rogatch, Belarus team, URL upon request)
- Topcoder SRM score: 1480 - among top 5K programmers in the world - top 0.02% http://community.topcoder.com/tc?module=MemberProfile&cr=23291407

During my career, I also took (technical) leadership roles such as Team Lead, Manager, Chief Architect, Vice-President, and CTO.

I developed all kinds of networking applications, from Linux Kernel modules up to Web applications.
The majority of work was, of course, done at TCP/IP level with socket calls like send/recv/select.

Programming languages: C++, C++11/14/17, C, Python, x86/x86_64/ARM/AArch64 assembly, LLVM IR, SQL, C#, JavaScript, HTML, CSS, MATLAB, Java, RDF,  MQL4, MQL5, Delphi/Pascal, XML, Cypher.

Libraries/Frameworks: STL, LibSVM, .NET, XGBoost.

Technologies: OpenMP, CUDA, SIMD (AVX&SSE, RTM), ASP.NET, WebForms, WinForms, Linux Kernel Modules, OptiX, OWL (OptiX Wrapper Library), RTX, raytracing.

Theory/Principles/Know-how/Methodologies: Algorithms & Data Structures, Performance Optimization, Artificial Intelligence, Multithreading, Vectorization, Object-Oriented Programming, compiler implementation, linkers, Mathematics, Semantic Web, Scrum, Agile, Bayesian Learning, Low-latency, High-frequency.

Open source code: Clang, LLVM, LLVM's compiler-rt library, a few my own repositories, Linux Kernel.

Tools/APIs/Architectures/Platforms: MSSQL, MySQL, Neo4j, MATLAB, HeidiSQL, Perforce, Fisheye, Confluence, Hudson, Jenkins, CMake, JIRA, SVN, GIT, QEmu, ARM, embedded, MT4, Nintendo Switch, MetaTrader 5, Anaconda, PyCharm.

Virtual Machines / Containers: Docker, VMWare, VirtualBox, QEmu, Hyper-V.

OSes: Windows, Linux, Android, Solaris.
 

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Language skills:

• English: C1 (Grammarly plugin says I use more unique words than 95% of other users, native speakers included).
• Polish: B1 (86%).
• Russian, Belarusian: Native.