Where I have worked and what I have done.
Leading technical initiatives across 8 teams and 3 domains in mission-critical scheduling infrastructure serving 500k practitioners and processing 9k bookings per minute at 2k RPS.
Drive cross-cutting architecture reviews and contribute to common libraries, ensuring consistency and best practices across the engineering organization.
Conduct 1:1 coaching for engineers across domains and run SDI sessions for L6-L8 candidates.
Leading ongoing extraction of availability service from Ruby monolith to Kotlin/Spring Boot microservice with Kafka-based CDC migration. Validating via shadow traffic comparison while serving 10% of live traffic, already achieving 10x faster response times with improved stability.
Established autonomous “you build it, run it” team model with internal on-call rotation and CI/CD pipeline enabling multiple daily deployments (25-minute cycle time), reducing bug resolution time from days to hours through improved observability and team ownership.
Designed and co-host Kotlin/Spring Boot workshop, enabling multiple teams to accelerate monolith extraction roadmap.
Introduced formal on-call rotation, reducing MTTR to 20 minutes.
Negotiated a cost-free architecture change with our Cloud Provider. We migrated all Data Science services from Kubernetes to Cloud Run, reducing the time to generate a recommendation from 20 seconds to one second and realizing a 50% cost reduction.
Increased company margin from 40% to 84% on 3-8M EUR annual revenue by implementing a real-time analytics pipeline for A/B testing ML-driven ad distribution, optimizing impression allocation and enabling data-driven bidding strategies.
Architected and documented technical systems for acquisition due diligence, presenting infrastructure scalability, data pipeline architecture, and operational excellence metrics that supported successful acquisition.
Improved engineering retention rate by introducing technical mentorship program and engineering career framework, enabling the team to double in size.
Created a technical interview process for software engineers, reducing time-to-hire to under 10 business days.
Reduced analytics ingestion latency from 170ms to 20ms in the 99th percentile.
Improved data aggregation pipeline orchestration and reduced error rate by 32% by moving to Airflow and BigQuery.
Migrated all core infrastructure and data at rest to the EU - ensuring the company is 100% GDPR-compliant.
Streamlined PSP integration (Stripe, PayPal, Adyen) by building a serverless abstraction layer with Compensating Transactions, accelerating customer onboarding and enabling support for future clients through outsourced integrations.
Worked closely with the Professional Services and Integrations team, ensuring successful launch of several large customers on the platform.
Participated in on-call rotation for teams outside our domain and contributed various fixes to the inventory ingestion and back-office reporting applications.
Developed a phone-to-phone payment system for in-store purchases, enabling the company to pursue several key clients. The system was deployed and later patented.