Senior Engineer  →  Engineering Manager  ·  promoted within 8 months

• Lead the IPP Scalability team of 6 engineers in scaling Adyen's In-Person Payments platform 50x — enabling 1 million+ concurrent connections with latency under 100ms and delivering reliable, high-throughput payment processing for global merchants across millions of devices.
• Grow and retain high-performing engineers through hands-on hiring, structured mentorship and coaching — building a team culture of ownership, continuous growth and clear career progression at all levels.
• Own cross-functional technical strategy across product, commercial and partner stakeholders — translating business objectives into engineering roadmaps and delivery commitments.
• Establish org-wide engineering standards and culture — defining ways of working, technical quality benchmarks and developer experience practices that raise the bar for teams across the organization.

• Delivered compliance solutions supporting the migration of millions of merchants across Europe in response to regulatory and banking license changes.
• Developed risk systems for merchant onboarding (KYC/KYB) and ongoing activity monitoring, improving detection of high-risk events and strengthening platform security.
• Collaborated with multiple teams and stakeholders to define and evolve the compliance and risk platform architecture, leveraging Java, AWS and event-driven design to deliver scalable, secure backend systems.

• Architected a customer data platform using Java, Kafka and Cassandra — processing millions of real-time events through event-driven streaming pipelines and batch processing to build unified customer profiles, powering personalization and recommendation capabilities.
• Built an org-wide data warehousing solution with ETL pipelines processing tens of millions of events, enabling enterprise reporting and data-driven decision-making across business and product teams.
• Mentored and onboarded new engineers, and collaborated with multiple teams to align on platform design and data architecture decisions.

• Developed an end-to-end machine learning pipeline for product ranking — from data pre-processing and feature extraction to model training and real-time prediction — enhancing content discovery and user engagement across high-traffic e-commerce applications.
• Built scalable user-generated content platforms and APIs serving 5K+ TPS with p99 latency below 10ms.

• Designed and implemented an NLP system to detect disorder mentions in clinical patient records, combining supervised and unsupervised methods to advance automated clinical text analysis.