Gene Zeiniss

• Lead engineer for a Java-based application that detects sensitive data, preventing data leakage and safeguarding customer information. The application features a RESTful service and a Hybrid SDK designed for latency-sensitive clients. This innovative Hybrid SDK approach provides essential benefits, allowing for dynamic configuration without requiring SDK version upgrades, and enabling comprehensive auditing and monitoring of SDK usage.
• Drive Security R&D efforts, enhancing the security posture of Intuit’s financial products like QuickBooks and CreditKarma by addressing issues related to secrets leakage and weak authorization configuration.
• Design and develop highly available and low-latency distributed systems for sensitive data detection and management, including training and delegating tasks to cross-continental teams to ensure effective collaboration and project success.
• Work closely with the AI team to integrate a Named Entity Recognition (NER) model, enhancing data classification accuracy.
• Granted a patent for input validation using mathematical expressions.

• Delivered the company’s first Java Spring Boot microservice, initiating monolith decomposition and refactoring legacy systems to modern, scalable architectures.
• Oversaw the redesign of the Customers and Payments domains, implementing an Anti-Corruption Layer to allow a gradual transition of features from monolith to microservices, and from not-transactional database to transactional.
• Collaborated with cross-functional teams to develop highly available distributed systems for payment processing and credit services, ensuring seamless integration across engineering, product, and operations teams to deliver scalable, reliable solutions.
• Mentored peers on designing and building microservices using a Domain-Driven Design approach to ensure modularity and clear separation of concerns.
• Promoted from Junior to Senior, and led the Backend Guild, focusing on R&D training, technological growth, and backend development best practices.

Managed QA and automation for a video creation platform, ensuring scalability and performance using JMeter for automation testing.