Improved operational efficiency by ~40% and reduced manual work by ~60% by replacing Excel-based workflows with a scalable platform using Next.js, React, TypeScript, Prisma, PostgreSQL, Cypress, and Jest.

Delivered RBAC-enabled dashboards and bulk data pipelines.

Increased lead conversion by ~20-30% and improved performance by ~25% by migrating from WordPress to a high-performance Next.js, React, TypeScript, and Resend stack. Built conversion-focused flows with custom charts and optimized static delivery.

Client Bermad: Built a global IoT analytics platform handling millions of devices using Next.js, React, TypeScript, and TanStack Query, enabling real-time monitoring.

Client Onit Dime: Replaced Superset UI with a custom analytics layer using React, TypeScript, Apache Superset, Python, and Jest, accelerating delivery of tailored workflows.

Client Plaid: Delivered advanced analytics visualizations (transpose, waterfall, Marimekko, KPI, Gantt charts) using React, TypeScript, Superset, Node.js, and Jest. Client Golgix: Scaled Superset into a multi-tenant platform with a ticketing system and migrated to a Git-based architecture using React, TypeScript, and Python.

Reduced CI/CD build times by ~50% (cutting build size from 1.5 GB to 700 MB) using caching and pipeline optimizations.

Reduced transaction failure investigation time by ~85% (3h 30m) by building an internal debugging tool using React, TypeScript, and D3.js.

Delivered instant payments capability for the Hungary market using React Query to handle async workflows. Modernized legacy banking systems by migrating 100+ JSP screens to a React, Node.js, and PostgreSQL microservices architecture.

Delivered 12+ production-grade web applications using React and TypeScript in a microservices architecture.

Reduced frontend duplication and improved consistency by extending the dbCore design system and standardizing UI patterns.