Manual information analysis
Employees read long histories, messages and documents to understand each case.
AI · .NET · SQL · Automation
AI and systems that work after launch.
I implement AI and improve existing systems without stopping business operations — from document and case-history analysis to integrations, SQL performance and gradual legacy modernisation.
I reply personally. After the call, you will receive a recommended next step.
14+ years of experience.NET and SQLAI in business systemsDirect collaboration
Technology should improve work, not create more problems.
I help businesses that already have data, processes and a working system, but lose time to manual work or technical debt.
Legacy blocks growth
The application matters, but every change is risky, slow and dependent on a few people.
AI stopped at the demo
The model works, but integration, quality control, security and measurable outcomes are missing.
Performance and reliability
Slow queries, duplicated jobs and integration failures consume the team's time.
From diagnosis to a working solution
I combine practical AI delivery with experience in long-running .NET and SQL systems.
01
AI for business
AI features embedded in business applications: history and document analysis, structured extraction, knowledge search and recommendations.
View service02
.NET modernisation
Regain control of ASP.NET, MVC, WebForms, Windows services and SQL databases without a risky rewrite.
View service03
Integrations and automation
Observable, resilient integrations that remove repetitive work and remain maintainable.
View service04
.NET and SQL performance
Find the real bottleneck across the application, database, queries and background processes.
View service05
Ongoing technical support
Regular access to a senior .NET/AI specialist without hiring another full-time employee.
View serviceProduction, not presentation
I take responsibility for the solution across the whole system.
A project does not end with an impressive prototype. It covers permissions, model errors, cost, queues, retries, monitoring and users' daily work.
Good implementation starts with the process
Not just a modelProcess, data and a measurable outcome.
Not just a demoIntegration with the application and permissions.
No blind trustValidation, sources and error handling.
Not deploy and forgetMonitoring, documentation and support.
Diagnose first. Then take the smallest step that creates value.
Each stage reduces uncertainty and leads to an evidence-based decision.
01
Call
30 minutes on the problem, system and desired result.
02
Workshop or audit
Data, risks, feasibility and measurement.
03
PoC or plan
A small scope that validates the solution.
04
Implementation
Integration, tests, monitoring and documentation.
05
Support
Measure results and continue improving.
Let's talk
Do you have a process or system that needs a sound implementation?
Briefly describe the situation. I will recommend a sensible first step — without a sales pitch or obligation.