Real results from enterprise work: production ML, microservice architecture, document management and legacy modernization for large industrial and financial clients.
Production-grade anomaly detection for a scientific software product (client under NDA). Ported Local Outlier Factor and Isolation Forest from Python to .NET / C#, matching the reference implementation at 99.99% accuracy with large gains in performance and throughput.
99.99%
accuracy
+180%
performance
+210%
throughput
Led a team of four backend engineers building a microservice platform from scratch for end-to-end logistics management at a UK freight carrier, with operations across Western Europe. Azure infrastructure designed and run by the team.
−15%
infra cost
99%
availability
+10%
performance
Enterprise electronic document management system. Built a PDF parsing service that extracts financial data and a two-way integration with SAP CRM.
15m→30s
SQL aggregation
+60%
system performance
SAP
CRM integration
Modernizing legacy systems for financial, industrial and publishing clients, from a factoring platform to a publishing management system moved from MS Access to .NET and SQL Server. SQL optimization, business process automation, reliability and data integrity.
Finance
Factoring
Industrial
Diagnostics data
Publishing
MS Access → .NET
Available for remote roles, contracts and consulting
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