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Kyiv, Ukrainemail@dvornichenko.com
Michael Dvornichenko Solution architect · SK.AI
Solution architect

I take on problems that have no ready-made solution

ERP and document workflow, warehouses with computer vision, forecasting models — designed and taken all the way to a running system. This site is a working archive of that: real problems, the architecture, the mistakes, the fix. Help yourself. And when a task needs solving fast — write to me.

Sectors and clients

Plants, public institutions, energy companies — projects where a mistake in the architecture costs years of rework.

Machine building Public sector Energy Food processing Warehouse logistics

Problem write-ups

Real problems from real projects — with the architecture, the mistakes and a solution you can repeat.

All articles →
All-posts 26.09.2024
Battery life time calculator

In today’s world, ensuring reliable power supply is becoming increasingly important for homeowners and apartment dwellers alike. An…

Case studies

Public sector Urban planning and architecture authority
ERP with a land cadastre and image analysis

One system for an urban-planning authority: land parcel records, digitising paper survey sheets into AutoCAD, object recognition on satellite and aerial imagery.

Machine building Manufacturing enterprise
ERP across the whole plant

Production planning, supply, costing, sales, accounting and tax, payroll and HR — one loop instead of a dozen disconnected programs.

Warehouse logistics Leather processing plant
WMS with computer vision on the line

Raw-material quality control on the conveyor, automatic load measurement, free-slot calculation and forklift navigation.

Ways of working

Three formats. Most engagements start with the first — to find out whether the second is needed.

01 Consulting and audit

A review of what is already built: where the bottlenecks are, what to repair and what to rewrite. You get findings and a plan of action, not a slide deck.

02 Solution design

Architecture, specification, technology choices, effort and budget estimates. A document any team can build from.

03 A team for the task

Assembling a team around the task and setting up how it works: roles, process, control of results. For problems where the solution still has to be found — computer vision, AI, mathematical models.

What I am doing now

SK.AI R&D company · founder

Research and applied projects where data, computer vision and industrial automation meet.

SK.AI Academy Educational project

Training specialists for the work that comes into the company: from data analysis to applied AI.

Save Ukraine Life Charitable organisation · head

Co-founder and head. Some of the technical work behind it is written up on the blog.

Tell me what needs building

Describe the task in a couple of paragraphs. I will answer whether I can take it on — and suggest where to start.

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