Roy Meshulam, EMBA, M.Sc.
AI Engineer | Full Stack Developer

Executive Summary
Results-driven AI and Product Delivery with 15+ years of experience spanning fintech, digital payments, and software development. Currently driving e-commerce payment innovations at Mastercard while pursuing an M.Sc. in Artificial Intelligence. Demonstrated expertise in leveraging AI, Python-based data science solutions, and advanced analytics to transform product development, resulting in 20-30% improvements in launch efficiency, customer satisfaction, and market penetration.
Combining technical acumen with business insight through an Executive MBA, I excel at integrating AI-powered solutions into product lifecycles and leading cross-functional teams to deliver market-leading digital products. Notable achievements include spearheading the European expansion of digital payment solutions (Apple Pay, Google Pay), implementing AI-driven analytics for product optimization, and developing Python-based predictive models that consistently drive revenue growth.
Core strengths include AI-powered product management, Python development for data science, predictive analytics, agile methodology, and strategic stakeholder management. Passionate about harnessing artificial intelligence and building scalable Python solutions to solve complex business challenges and create exceptional customer experiences in the rapidly evolving digital payments landscape.
Professional Experience
Mastercard, Zurich, Switzerland
Product Delivery / E-Commerce Payments (Jan 2023 – Current)
- Spearheaded the assessment and resolution of gaps in product go-to-market readiness using AI-driven analytics, ensuring successful delivery to European markets, resulting in a 20% reduction in launch delays through predictive insights.
- Led strategic scoping and prioritization discussions with customers, leveraging data science models to optimize project focus and enhance customer satisfaction, contributing to a 15% increase in customer retention by identifying key predictive indicators.
- Successfully managed Agile project plans, incorporating AI-based tools for task automation and predictive analytics, ensuring on-time delivery and high-quality product releases, contributing to a 25% improvement in product launch efficiency.
Product Delivery / Digital Payments (Jan 2018 – Dec 2022)
- Successfully led the expansion of digital payments, including Apple Pay and Google Pay, utilizing AI-driven market analysis to drive a 30% increase in transaction volume and market penetration through data-informed strategies.
- Developed impactful product positioning and messaging in collaboration with sales and marketing teams, leveraging AI-based customer behavior analysis, resulting in a 20% increase in product adoption and customer engagement.
- Enhanced product offerings and APIs using data science techniques to analyze user research and feedback, leading to a 25% improvement in customer satisfaction and the successful commercialization of the MDES platform for Device Wallets through AI-powered optimization.
Product Delivery / Masterpass (Jan 2015 – Dec 2017)
- Designed and implemented a streamlined customer onboarding process by leading cross-functional teams, resulting in a 30% increase in onboarding efficiency and the creation of standardized delivery documentation templates.
- Served as the Subject Matter Expert on customer implementation, significantly reducing project timelines and enhancing the quality of customer deployments.
- Integrated best practices, lessons learned, and market insights into the delivery process, leading to continuous improvements and a 20% increase in customer satisfaction.
UBS Investment Bank, Zurich, Switzerland
Project Manager / FX Derivatives (Jan 2013 – Dec 2014)
- Successfully led time-sensitive regulatory projects, ensuring uninterrupted trading business continuity and compliance with CFTC, MiFID, and ESMA regulations, resulting in zero customer disruptions.
- Effectively managed project risks by maintaining a comprehensive risk log and implementing mitigation plans, reducing potential project delays and issues by 20%.
- Structured and delivered projects to meet tight regulatory deadlines, achieving 100% on-time go-live dates aligned with regulatory requirements.
Senior Software Engineer / FX Derivatives (Jan 2010 – Dec 2012)
- Led local and remote IT teams to successfully deliver a robust FX Derivatives trade capturing system in ActionScript and Java, enhancing trading efficiency and accuracy by 30%.
- Effectively communicated progress and managed risks with business stakeholders, ensuring alignment and maintaining stakeholder confidence throughout the project.
- Directed the design, development, and implementation of critical business changes, resulting in a 25% improvement in system performance and user satisfaction.
Software Engineer / FX Derivatives (Jul 2007 – Dec 2009)
- Developed a full-stack FX Derivatives trade system, transitioning from a standalone C++/Java client to a JavaScript web application, significantly improving user interface and performance.
- Led implementation discussions with internal stakeholders, capturing requirements accurately and ensuring successful project alignment, which resulted in a 20% increase in stakeholder satisfaction.
- Delivered new features and enhancements, expanding trading offers and increasing trading volume by 30%.
Education
- M.Sc. in Artificial Intelligence, Maryville University, St. Louis MO, USA.
- Executive MBA, Quantic School of Business and Technology, Washington DC, USA.
- M.Sc. in Computer Science, Bar Ilan University, Ramat Gan, Israel.
- B.Sc. in Computer Science, Bar Ilan University, Ramat Gan, Israel.
Skills
- AI, Artificial Intelligence, Generative AI, Machine Learning, Deep Learning.
- Product Development, Road mapping, Stakeholder Management.
- User Experience (UX), Agile Methodology, Scrum.
- Data Analysis, Machine Learning, Market Research.
- Product Strategy, Prototyping, Cross-functional Collaboration.
- Feature Prioritization, Product Lifecycle, User Research.
- A/B Testing, Data-driven Decision Making, Analytics.
- User Stories, Requirement Gathering, Product Launch.
- Competitive Analysis, Product Metrics, Iterative Development.
- Technical Aptitude, API Integration, Customer Feedback.
- Innovation, Problem Solving, Leadership, Communication Skills.
- Product Marketing, UX/UI Design, Product Roadmap.
- Agile Development, Customer-Centric, Business Analysis, Workflow Automation (n8n, Zapier).
- Product Innovation, Software Development, Project Management.
- MVP (Minimum Viable Product), KPIs (Key Performance Indicators).
- Azure, AWS, PHP, Java, JavaScript, C, C++, C#, Python.