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AI Engineer at Desupervised

Mykyta
Voitishyn.

Data scientist turned AI engineer. I build AI systems, help others build theirs, and have fun along the way.

See my experience github linkedin

About

Kyiv → Copenhagen

I'm an AI engineer at Desupervised. I work directly with clients, from the first conversation to a solution running in production.

Over 10+ client projects I've learned that the model is rarely the hard part. The value comes from scoping the right problem, earning the client's trust, and shipping something that changes their numbers. That's the part I enjoy most.

My background is applied mathematics, across Kyiv, Munich and Glasgow. Outside work I build products, co-organise Coffee AI Club and teach workshops. It keeps my product sense and my people skills sharp.

  1. KyivUkraineSep 2021 – Jun 20229 moBSc Applied Mathematics, Kyiv-Mohyla Academy
  2. MunichGermanyJun 2022 – Oct 20231 yr 4 moComputer science at TUM, data analyst intern at Allianz
  3. GlasgowScotland, UKOct 2023 – Sep 202411 moExchange year, mathematics & statistics
  4. CopenhagenDenmarkOct 2024 – now2 yr 1 moData scientist, now AI engineer at Desupervised

Worked with

companies · clients · volunteering

Clients I've delivered models for

By the numbers

updates daily
delivery3+years building with data and AI
delivery10+client data science projects delivered
delivery6clients served
delivery15+client workshops run
community1Coffee AI Club meetups hosted
community5talks and workshops given
community150+people reached at events
community4open-source tools and skills shared

Experience

where I've worked
Oct 2025 – now1 yr 2 mo
promoted

AI Engineer · Desupervised · Copenhagen

  • Built [AI system] for [client type], [outcome with a number]
  • Designed the solution architecture for [system], adopted by [team / client]
  • Worked directly with clients from scoping workshops to production handover
Oct 2024 – Sep 20251 yr

Junior Data Scientist · Desupervised · Copenhagen

  • Delivered [N] data science projects for clients in [industries]
  • Built [models / dashboards] that helped [client] make [decision]
Apr – Sep 20236 mo

Data Analyst, Intern · Allianz SE, GSMD · On-site, Munich, Germany

  • Turned raw data into insights for the team and built dashboards that supported data-driven decisions.

Reference: name ↗, position linkedin url

Education

applied maths, three countries
2021 – 2025
2023 – 2024

Exchange, Mathematics & Statistics · University of Glasgow ↗

GPA x.x
2022 – 2023

Visiting student, Computer Science · Technical University of Munich ↗

GPA x.x

Projects

side projects · product sense
  • 2026

    Vidunya Labs

    An AI studio that builds small, focused tools for teams who want to automate their busywork. We start from one painful workflow and ship a working agent in two weeks.

    AI agentsPythonClaude
    website ↗ url case studies ↗ url
    flagship
  • 2026

    Hej Denmark

    A friendly guide for newcomers to Denmark. It answers questions about CPR, tax, housing and everyday Danish in plain language, in your own language.

    AI assistantLovablenewcomers
    landing page ↗ url open the app ↗ url
    product

Events I organise

meetups and workshops I run or help run
  • Nov 2026 →

    Coffee AI Club

    A calm, bi-weekly AI meetup in Copenhagen, run with CPH AI Hub. Organisers share what they've learned about AI automation and help people bring their own ideas to life, for work and daily life.

    every other ThursdayAI automationknowledge sharing
    CPH AI Hub ↗ sign up ↗ url LinkedIn post ↗ url
    co-organiser
  • 2026

    Vibe Code a Good Deed

    Hands-on workshop for Bevar Ukraine's Leadership Academy, teaching young Ukrainians in Denmark to build useful apps with Lovable, without a coding background.

    workshopLovablevibe coding
    Bevar Ukraine ↗ slides ↗ url LinkedIn post ↗ url
    speaker

Daily log

loading…

Loading today’s numbers…

Live from GitHub

updates daily

– contributions in

github.com/mvoitishyn

Research

papers and articles
BSc thesis · Kyiv-Mohyla Academy · 2025

Developing a hybrid model for financial market prediction

Combining statistical and machine learning models to forecast market movements. url

Medium · date

Overview of Sora, OpenAI's text-to-video model

How Sora turns text prompts into video, and what it means for builders.

Toolkit

what I work with

// agentic engineering

  • AI agents
  • Agent harnesses
  • MCP servers
  • Claude skills
  • Tool calling
  • Prompt engineering
  • Evals
  • RAG

// data science & ml

  • Variational inference
  • Bayesian modelling
  • Marketing mix modelling
  • Forecasting
  • Statistics
  • Machine learning
  • Data analysis

// languages & stack

  • Python
  • R
  • SQL
  • FastAPI
  • Streamlit
  • Docker
  • Git
  • Lovable

// client delivery

  • Client scoping
  • Solution design
  • Stakeholder workshops
  • Prototyping
  • Production handover
  • Delivery planning

// people

  • Community building
  • Workshops & talks
  • Teaching

// spoken languages

  • Ukrainian
  • English
  • German
contact

Got an idea that needs AI? Let's build it.

email ↗ linkedin ↗ github ↗