• Blended skill set of high-throughput & high-availability Software Development experience in Decision Platform and AI field, with patent pending; Software Security PHD Research experience, Privacy-preserving Data Mining (Data Privacy) research experience.• Interested in Machine Learning, Big Data, Data Security & Privacy, FinTech, Blockchain.• Staff software engineer in AI and Data Platform team (covering Decision and Machine Learning Infrastructure for Risk & Compliance, Recommendation System, Personalization, Chatbot and Customer Services).• Technical PHD Intern at PayPal Risk Real-time Big Data Core Platform Team.• Research Assistant in Software Security, Data Privacy.• Seven Academic research publications on Software Security, Data Privacy, Differential Privacy, and Security Education, with 155 citations.• Lead Developer of an OWASP project (Eclipse plugin for vulnerability detection)• Discoverer of multiple zero-day vulnerabilities in Moodle 2.5.3, 2.6beta (CVE-2014-0010, CVE-2014-0122), an open source used by millions of users around the world.• Discoverer of multiple zero-day vulnerabilities in Apache Roller (CVE-2012-2380, CVE-2012-2381), an open source project used by a huge number of users.Specialties: • Fraud detection, risk detection, risk rules lifecycle, risk management• Application/Software security, vulnerability analysis, product security, data privacy• Big data analytics/visualizationTechnical Skills:• Languages: Java (Strong), Apache Pig, NodeJS, AngularJS, Express, D3, SQL, C/C++, JavaScript, XML, PHP, Python, HTML, JSP.• Development Tools/Database: Apache Hadoop, MongoDB, FindBugs, Git, MySQL, Tomcat, Weka.• Security Related Tools: HP Fortify SCA, Burp Suite, Tamper Data.
Listed skills include Code Review With Static Analysis Tools, Jsp, Paypal, Information Security, and 44 others.