Jevgenij Protopopov (original) (raw)

Hello. My name is Jevgēnijs Protopopovs. Here you can find some information about me and my projects. My resume in PDF.

Contacts & Links

Email (in order of preference) - jevgenij@protopopov.lv, jprotopopov1122@gmail.com,protopopov1122@yandex.ru
Telegram - @jprotopopov
GPG Key
SourceHut profile,Codeberg profile,Git hosting

Public projects

Kefir C17/C23 compiler
Kefir is an independent optimizing compiler project for C17/C23 language standard, targetting Linux and *BSD systems for x86_64.
Kefir has been designed and implemented entirely by me, over the course of more than five years, starting from 2020.
Technologies: C language, x86_64 assembly, System-V ABI, DWARF, glibc, musl, Linux, *BSD.
CalX stepper motor tools
CalX - Software system controlling a laser and stepper motors for RTU Institute of Technical Physics.
Technologies & concepts: cross-platform C++17, wxWidgets, WinAPI, realtime processing

Education

Master's programme in Computer Science
Johannes Kepler University Linz
October 2021 - August 2023
Academic Degree: Diplom-Ingenieur Major in Software Engineering (passed examination with distinction)
Maste's thesis - Throughput Barrier Exploration for the Garbage-First Collector [PDF], [link], [practical part]
Academic bachelor in Computer Science (with distinction)
Riga Technical University
September 2016 – June 2019
GPA: 9.52/10
Bachelor's thesis - Analysis of C++ Integration with Other Languages for Embedded Software Development [PDF (in Latvian)][practical part]

Work experience

University of Tartu, Estonia. Laboratory for Software Science
September 2025 - Current
Junior Research Fellow in Programming Languages
March 2025 - September 2025
Research Software Engineer
National Institute for Research in Digital Science and Technology (Inria, France). CORSE group
February 2024 - August 2024
Research engineer working on interactive compiler optimizations.
- Investigation of Large Language Model compilation for embedded devices, identification of performance bottlenecks.
  Technologies: MLIR, C++, IREE, TVM, LLaMa, Huggingface Transformers, AArch64.
  Key achievements: in-depth investigation of model compilation pipeline, low-level profiling and identification of performance deficiencies.
- Design and implementation of domain-specific language and interactive environment for computation scheduling.
  Technologies & Concepts: Python 3, C++, MLIR, XDSL, LLVM IR, Polygeist C, z3 (SMT), Gibbs sampling & Bayesian optimization, JavaScript, Vue 3.
  Key achievements : implementation of a comprehensive computation scheduling language, implementation of an interactive scheduling, benchmarking and autotuning environment.
- Technical reporting of findings and outcomes.
  Technologies: LaTeX.
Motorola Solutions Danmark A/S
September 2019 - August 2021
Software engineer working on mission critical radio communication system.
- Core communication network development and maintenance.
  Technologies: C++, Bash, Python 3, Linux, SQLite3, SNMP, Corosync + Pacemaker, GDB, Wireshark, strace.
  Key achievements: complex production issue investigation and resolution, extension of system feature set and test coverage, improvement of debugging and version control practices within the team
- Leading the monitoring system development.
  Technologies: NodeJS, HTML + CSS + JavaScript, MongoDB, Redis, LVM2, Linux, SNMP, systemd, Ubuntu Linux.Key archievements: successful delivery of several system versions, substantial backwards-compatible redesign and modernisation, technical debt elimination.
- Major software stack and platform upgrades — Python, NodeJS, PHP, MongoDB, Ubuntu Linux.
- Experience working in development teams distributed accross multiple timezones
SIA "IT Holding"
April 2017 – August 2019
Part-time Web developer with focus on frontend and mobile devices.
Technologies: HTML5 + CSS3 + JavaScript/TypeScript, Vue.js, Python 3, Phonegap, Bitcoin & Ethereum blockchains, Telegram Bot API.
- Internal corporate dashboard UI.
- eCommerce cross-platform mobile application, cryptocurrency wallet and Telegram bot.

Other projects and expertise

LuaCppB - library for C++ and Lua integration, covering most of Lua C API.
LEPTON - Forth-like system for UEFI x86_64 machines implemented in assembly.
pjos - SAT solver based on CDCL algorithm implemented in C++.
GCodeLib - G-Code interpreter framework (used in CalX).
C++ template metaprogramming exercises: CppPromise - JavaScript-like promise implementation for C++, and TemplateVM - simple stack-based virtual machine running at compile-time.
Cooperative threading exercises in C and assembly: the first and the second.
Brainfuck x64 compiler written in Python.
Reversi game implemented in C++.
Yoyo - an interpreter for custom dynamic scripting language.
Master's thesis-related: OpenJDK fork with throughput barriers implemented for G1 collector and benchmarking scripts implemented in Python and Bash.
Random little things: XOR + cat (C), kpartition (JavaScript).

A (non-exaustive) list of my technical knowledge and skills:

Native development — C & C++ languages, x86_64 assembly, System-V AMD64 and x64 MS ABI, UEFI applications, proficiency with debugging, profiling and tracing tools.
Low level development skills and technical knowledge in operating system, runtime system and programming language development. Competence in parallel programming (incl. low level synchronization primitives and memory models).
GUI development — native (wxWidgets, Swing) and Web-based (HTML + CSS + JS, Vue 3) UIs.
Backend development — HTTP backends in NodeJS or Python, custom servers in C++ with Boost, competence in SQL, network trace analysis via Wireshark.
Administration — experience with modern Linux-based systems on servers and workstations (systemd, Bash, Python, Docker, QEMU, nginx, SSH, nftables), including scripting and performance monitoring (tracing). Understanding of network organisation & security principles.
Collaboration — Git, JIRA, Confluence. Documentation maintenance with LaTeX, Microsoft Oﬀice, Markdown.

Languages

English - full professional proficiency.
IELTS Academic - 8.0 (May 2024), 8.5(July 2020).
Russian - native speaker.
Latvian - fluency.

Miscellaneous

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