Kevin – React, Typescript, Next.js

A mobile app for trading and tracking precious metals holdings, allowing users to place trades, monitor vault-stored assets, and get real-time pricing updates on the go.

• Owned the architecture and development of the entire technical platform across frontend, backend, databases, infrastructure, DevOps, and internal operational tools.
• Scaled the platform from approximately $10M to $450M+ in processed transaction volume while maintaining reliability as customer and order volume increased.
• Designed and implemented an automated market-making engine that facilitated tens of millions of dollars in trades and improved liquidity, spreads, and pricing reliability.
• Built end-to-end KYC/KYB workflows for customer and business onboarding, compliance checks, and account verification.
• Developed automated accounting, reconciliation, and transaction-processing systems that significantly reduced manual financial operations.
• Built logistics and fulfillment automation supporting 2,000+ daily orders for physical precious metals and rare coins.
• Developed internal dashboards and operational tooling for accounting, logistics, transaction monitoring, reconciliation, and customer operations.
• Designed database schemas, transaction flows, and backend systems with strong consistency, auditability, and scalability requirements.
• Managed production architecture, deployments, monitoring, incident response, and technical reliability as the platform scaled.
• Partnered directly with the founding team on product direction, technical strategy, fundraising technical diligence, and early engineering hiring.

A global technology company best known for its search engine, along with a wide range of products, including email, cloud computing, mobile operating systems, advertising, and AI-driven services.

• Designed and implemented production features for YouTube Studio and the main YouTube application, serving creator workflows at global scale.
• Built the full-stack mobile Download feature, covering client-side functionality, backend integration, state management, and user experience.
• Built the Upload functionality for YouTube Studio from scratch, porting complex publishing logic from the main YouTube application and adapting it to new creator workflows.
• Developed backend and client-side components for content-publishing pipelines operating under large-scale traffic and reliability requirements.
• Led UX modernization work across YouTube and YouTube Studio Android applications, improving consistency and usability across creator-facing workflows.
• Improved reliability and error handling across upload, download, and content-publishing flows.
• Collaborated closely with Android, backend, product, UX, and SRE teams to design, review, test, and launch production features.
• Contributed to Effingo, Google’s distributed data-transfer platform responsible for replicating exabyte-scale data across geographically distributed clusters.
• Improved reliability, throughput, and operational workflows for large-scale data transfers between Google infrastructure environments.
• Developed tooling and system improvements for monitoring, debugging, and operating distributed data-transfer jobs.
• Worked with production systems requiring high availability, fault tolerance, scalability, and careful performance engineering.
• Participated in Google’s engineering processes including design reviews, code reviews, testing, production rollouts, monitoring, and incident investigation.

A global enterprise software company providing business applications and cloud solutions for areas such as finance, supply chain, human resources, and data analytics, helping organizations integrate and manage operations across their business.

• Engineered core components of SAP Analytics Cloud’s visualization and analytics platform used by enterprise customers worldwide.
• Optimized the data pipeline between React-based frontend components and SAP HANA, improving dashboard rendering performance by approximately 20%.
• Identified performance bottlenecks across data retrieval, transformation, and visualization workflows and implemented targeted optimizations.
• Built and improved data-processing flows supporting interactive dashboards, analytical reports, and complex enterprise data models.
• Developed frontend components for high-volume analytical datasets while maintaining responsive user interactions.
• Worked with large-scale data queries and optimized how analytical results were processed and rendered in the browser.
• Improved reliability and performance of visualization workflows under high-load and data-intensive scenarios.
• Contributed to features supporting advanced reporting, predictive analytics, and enterprise business intelligence use cases.
• Collaborated with product, design, backend, and data-engineering teams to deliver production-ready analytics functionality.
• Participated in code reviews, testing, debugging, performance profiling, and production-quality engineering processes.

A leading global bank providing corporate, institutional, and private banking services, including investment banking, wealth management, and financial research, headquartered in Germany.

• Built real-time anomaly-detection pipelines monitoring 200M+ SEPA Instant Payment transactions per day.
• Developed systems for identifying irregular transaction patterns and operational anomalies across multiple payment-processing pipelines.
• Built a central backend API that aggregated signals from distributed processing systems and exposed standardized risk and operational indicators.
• Designed data-processing workflows for transforming high-volume payment events into actionable monitoring metrics.
• Developed analytical logic used to detect abnormal behavior, system instability, and potential processing issues.
• Built BI dashboards and operational visualizations for engineering teams and senior stakeholders.
• Created Tableau dashboards that provided real-time visibility into transaction volumes, anomalies, system health, and operational trends.
• Improved monitoring workflows to help teams identify and investigate incidents more quickly.
• Worked with engineering and operations teams to reduce false-positive alerts and improve the quality of anomaly-detection signals.
• Supported data-driven incident analysis by correlating signals across multiple payment-processing components.
• Worked with large datasets and high-throughput financial systems where accuracy, reliability, and low-latency monitoring were critical.