Jonathan Caballero

Designed and developed a full-stack market research platform using React, TypeScript, Next.js, React Native, Node.js, Express, GraphQL, and MySQL that improved pricing accuracy and decision speed by 25%. Built interactive dashboards with React, Redux, and Chart.js, reducing report generation time by 60%. Created an AI-powered survey analyzer with spaCy and scikit-learn that cut manual review effort by 70% and accelerated insights identification by 3x. Developed Node.js microservices processing over 2 million daily records ensuring high availability and integrity. Implemented AWS Lambda functions with CloudWatch to automate data updates and maintain 99.9% uptime. Increased test coverage to 90% using Jest and React Testing Library. Collaborated with product managers and designers to deliver user-friendly UIs on schedule. Mentored junior engineers through code reviews and coaching, enhancing team skills and code quality.

Led the development of a blockchain-based B2B payment module with Solidity and Web3.js, reducing reconciliation time by 50% and enhancing transaction transparency. Implemented scalable microservices in Java and Spring Boot, increasing treasury operations throughput by 30%. Integrated PostgreSQL with financial APIs to improve real-time cash tracking and cut reporting latency by 40%. Automated smart contract and backend deployments via Jenkins, Docker, and Kubernetes on AWS, reducing release cycles by 35% and improving uptime. Audited blockchain logic to eliminate 70% of critical vulnerabilities through code reviews and security validations. Delivered React-based liquidity dashboards, boosting client satisfaction by 15%. Coordinated with PMs and legal teams to ensure compliance with global blockchain regulations, accelerating client onboarding by 20%.

Delivered web solutions using React, Angular, TypeScript, Go, and Nest.js for over 100 clients across finance, healthcare, and retail sectors. Modernized legacy frontends boosting user interaction by up to 25%. Optimized app performance with lazy loading and code splitting, reducing page load times by 35%. Architected backend infrastructure to support high-traffic applications, decreasing server response time by 35%. Collaborated cross-functionally to transition systems to microservices architecture, enhancing scalability by 50%.