Proven track record in backend engineering and system delivery.
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Since 2026, I have been embedded in the Vilnius and Kaunas startup community, shipping rapid SaaS prototypes to validate ideas, secure initial customers, and de-risk product directions. A key focus has been ecommerce compliance: helping Asian sellers entering Europe avoid regulatory delays by ensuring required documents and evidence packages are complete and audit-ready.
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Stabilized high-scale AdTech production by removing critical .NET bottlenecks, unblocking 3 cross-functional teams and restoring reliable delivery under peak load. Improved Kafka consumer performance in a multi-region setup to keep event pipelines consistent at scale.
Unblocked 3 teams of ~15 developers total. Stability was measured by a ~40% reduction in production error alerts across Grafana dashboards and Kibana logs. The multi-region Kafka setup handled millions of events per hour, which is a factual scale baseline for Adform's environment.
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Built production-style Go services with concurrency and observability, delivering implementation-ready prototypes with tests and Docker to validate reliability. Achieved 100% core-logic test coverage on a distributed rate-limiter to de-risk correctness at scale.
The rate-limiter project used Go's concurrency primitives and was verified with race-detector and integration tests in Docker. The 100% coverage baseline was tracked via `go tool cover` during the final R&D phase.
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Enabled 3x higher data resolution by refactoring legacy PostgreSQL procedures to support 5‑minute smart‑meter ingestion (down from 15). Migrated backend logic to handle higher write-load for thousands of endpoints without stability regressions.
Moving from 15-minute to 5-minute intervals represents a 3x increase in data resolution. Handled the write-load for thousands of endpoints as verified by database ingestion logs and Azure Monitor metrics during the migration.
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Researched emerging backend tech with a focus on architecture, bottlenecks, and production scalability. Evaluated distributed tracing (OpenTelemetry) and structured logging to reduce debugging time in microservice environments.
Produced a technical benchmarking report comparing 3 tracing providers. The evaluation criteria were based on ingestion latency and heap memory overhead, which are standard performance proxies for high-scale systems.
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Delivered technical research and system integrations for specialized product environments. Strengthened TypeScript and infrastructure foundations for scale, and reduced integration friction by standardizing API contract definitions.
Standardized API contracts using JSON Schema and TypeScript types, which reduced the 'integration phase' of new projects by approximately 2 weeks compared to previous ad-hoc implementations.
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Automated Microsoft Dynamics migrations with a .NET CLI for breaking‑change detection. Cut manual code audit time by ~80% per project and removed human error in identifying deprecated APIs across large NAV codebases.
Manual audits previously took roughly 4-8 hours per project; the .NET CLI tool completed the same checks in under 10 minutes. The ~80% is a conservative estimate of time saved based on project turnaround times before and after the tool's introduction.
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Led a large data-entry platform migration to Azure with zero downtime. Contributed to the system rewrite and optimized database queries, improving data retrieval speed by ~50% for high-volume reporting modules.
Query performance was measured using Azure SQL Database Performance Insights. The ~50% improvement was verified by comparing P95 latency before and after the query refactoring for the primary reporting dashboard.
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Built internal tooling for ticket reconciliation and accounting to reduce operational errors. Automated manual spreadsheet data-entry, saving ~10 hours of manual labor per week for the accounting team.
The ~10 hours per week is a direct calculation based on the accounting team's previous manual workflow (2 hours/day) vs. the automated script execution (under 5 minutes).
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Built Unity3D mobile game features and implemented ads + in-app purchases in C#, ensuring reliable transaction handling and a 99% crash‑free rate for the monetization module.
Crash rates were monitored via Unity Analytics and HockeyApp. The 99% crash-free rate was the production baseline maintained across several released titles.