Katarzyna Jamro

Transformed a high-performance, data-intensive application using Next.js and Node.js, improving throughput and reducing latency, enabling support for 20K requests/day across 10 services. Introduced TypeScript-based type checking to improve frontend code quality and reduce defects. Established ownership of backend services and migrated from REST to GraphQL to improve data fetching efficiency. Scaled a Web3-based trading platform and led development of multiple data-intensive applications, focusing on testing and performance. Overhauled legacy frontend to TypeScript and Tailwind CSS to improve maintainability and reduce bug-fixing time. Architected AI-driven analytics integration with Python/ML to improve predictive accuracy, and modernized the financial data pipeline using Kafka and MongoDB/Node.js with reduced processing time and infrastructure cost savings.

Implemented TypeScript type checking across the frontend codebase, reducing errors and improving developer productivity. Optimized Node.js and Next.js performance across 10 services to reduce load times and increase engagement. Refactored frontend architecture toward a microservices-based approach, improving maintainability and reducing bugs. Designed and built REST APIs with Express.js and Node.js to support financial data and trading integrations with high request throughput and strong uptime. Developed a Web3 trading platform MVP using Next.js/TypeScript, improving acquisition and revenue metrics. Maintained performance-focused builds using Webpack/Vite to reduce latency and support reliability. Built backend services to integrate AI analytics and financial data for multiple trading platforms, handling high transaction volumes and reducing latency.

Built high-performance web applications across multiple services using React, Node.js, and TypeScript, taking work from concept to deployment. Automated testing to reduce bugs significantly and increase coverage by adopting Jest/Enzyme and CI processes across many services. Reviewed large volumes of code to improve maintainability and reduce technical debt using ESLint and TypeScript tooling. Partnered with design to ship frontend updates using HTML/CSS/React, improving engagement and session duration. Improved application latency via bundling and code-splitting techniques. Delivered scalable and secure backend services supporting AI analytics and financial data, enabling trading platforms and handling large transaction volumes.