As a software engineering professional with recent experience on Airbnb’s Transaction Risk team in Payments Risk and Fraud Mitigation, I am dedicated to advancing secure, efficient, and innovative technology solutions. My journey into programming began at age 15, and since then, I have built a strong foundation in computer science through hands-on, high-impact work in diverse technical domains.My key strengths include agile problem-solving, meticulous project planning, and rigorous testing practices. I am fluent in Java, Python, C++, Scala, and SQL, with additional experience in web development using React, CSS, HTML, and JavaScript. Well-versed in both Object-Oriented and Functional Programming paradigms, I bring a comprehensive understanding of APIs, request/response structures, and backend API setup, along with practical skills in CI/CD pipeline configuration using YAML.In my current role, I have enhanced rule performance and developed new rules within our team’s rule engine service, strategically reducing risk and enabling seamless, secure transactions. By implementing integration tests across three services, I increased code coverage by 30% for each, significantly strengthening system reliability. I also led a critical sub-project for service deprecation and logic migration, managing every phase from auditing and planning through to deployment, ensuring a smooth transition. I routinely support the team by investigating and resolving on-call errors, bug tickets, and product tickets to maintain efficient, uninterrupted operations.My expertise spans AWS infrastructure, pipeline configuration, and running experiments to monitor metrics for offline queries and data analysis. I have successfully implemented custom metrics to track performance, possess extensive knowledge of Java unit testing frameworks like JUNIT, and have experience with integration testing frameworks. My collaborative experience includes conducting detailed code reviews, executing QA tests, and working closely with QA teams to maintain the highest standards of product quality and reliability.Throughout my career, I have honed my expertise in algorithms, data structures, and databases. My academic background includes Discrete Mathematics, Probability and Statistics, and Relational Algebra, alongside practical accomplishments in Machine Learning, AI, and Computer Security. These fields, along with my hands-on work in Payments Risk, exemplify my commitment to technological progress and my drive to deliver impactful, innovative solutions.