Vladislav Indykov

Vladislav Indykov

PhD Candidate in Software Engineering

University of Gothenburg

About me

Hej! My name is Vladislav Indykov. I am also known as Euphort Wind. I work at the Joint Department of Computer Science & Engineering (University of Gothenburg | Chalmers University of Technology). I explore architectural and operational issues of ML-enabled systems.

Interests
  • Software Architecture
  • Machine Learning
  • Business Intelligence
  • Electronic Dance Music
Education
  • PhD in Software Engineering

    University of Gothenburg, 2023 - active

  • MSc in Applied Computer Science

    Ural Federal University, 2020 - 2022

  • MSc in Computer Science

    Mid Sweden University, 2021 (exchange studies)

  • BSc in Software Engineering

    Ural Federal University, 2016 - 2020

  • BSc in International Business

    Ural Federal University, 2017 - 2020

Experience

 
 
 
 
 
University of Gothenburg
Doctoral Candidate
May 2023 – Present Gothenburg

Responsibilities include:

  • PhD Research: Systematic Trade-off Management for MLOps
  • Teaching: “Agile Software Project Management” course
  • Supervision: BSc & MSc Theses
 
 
 
 
 
Ural Federal University
Lecturer
September 2022 – May 2023 Ekaterinburg

Responsibilities include:

  • PhD Research: Management in Organizational Systems
  • Teaching: “Business Intelligence Tools” & “Internet Marketing” courses
  • Departmental Duties
 
 
 
 
 
SPV
Project Manager
September 2021 – December 2021 Sundsvall

Responsibilities include:

  • Product Management
  • SCRUM Project Management
  • Frontend Development
 
 
 
 
 
Naumen
Business Analyst
July 2019 – August 2020 Ekaterinburg

Responsibilities include:

  • ITSM365 Product Management
  • Business Analysis
  • Customer Support

Publications

(2025). MLTradeOps: embedding trade-off management into the MLOps workflow. In SEAA 2025.

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(2025). Extracting design patterns from mined component models of ML-enabled systems. In SEAA 2025.

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(2025). On the use of GPT-4 in the reverse engineering of class diagrams. In JOT 2025.

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(2025). Quality trade-offs in ML-enabled systems: a multiple-case study. In SIGAPP SAC 2025.

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Events

Speaker, ACM SAC (Applied Computing), Catania
SIGAPP SAC Conference 2025
Speaker, Chalmers University, Gothenburg
SiREN Meeting 2023
Participant, Ural Federal University, Ekaterinburg
Project-Based Learning Qualification 2023
Participant, High Coast Hub, Örnsköldsvik
The High Coast International Day 2021
Participant, Erasmus University, Rotterdam
Innovation Management Course 2021

Contacts