R

Rodrigo Cruz

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Mexico City, Mexico

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Résumé

Jobs verified_user 0% verified
  • Rebuy Engine
    Senior Software Engineer
    Rebuy Engine
    Oct 2022 - Oct 2025 (3 years 1 month)
    • Architected the end-to-end development of a personalization platform for e-commerce stores using Nest.js, TypeScript, PostgreSQL, and React, integrating GraphQL to enable efficient data querying for product recommendations, resulting in a 25% faster response time in retrieving personalized content. • Built a merchant analytics dashboard using Node.js, React, React Query, and Redux, providing key insights to Shopify store owners, resulting in a 30% increase in campaign efficiency. • Developed efficient RESTful APIs using Node.js and Express to support recommendation engines for mobile and web e-commerce platforms, ensuring fast response times and a smooth user experience with an average response time reduction of 25%. • Built scalable
  • Lendflow
    Full Stack Engineer
    Lendflow
    Aug 2019 - Oct 2022 (3 years 3 months)
    • Developed embedded credit infrastructure APIs using Node.js, Express, Nest.js and TypeScript, enabling SaaS platforms to integrate lending services, improving credit product adoption by 18%. • Integrated machine learning models into the credit decisioning engine with Python and TensorFlow, automating credit scoring for partner platforms and reducing loan approval times by 25%. • Built secure API services for embedded lending infrastructure, implementing OAuth2 for authentication and ensuring compliance with financial regulations for partner integrations. • Designed and implemented highly efficient backend systems to enable third-party platforms to offer credit products, leveraging MongoDB and PostgreSQL to ensure fast and reliable dat
  • Paystand
    Backend Developer
    Paystand
    Aug 2017 - Jul 2019 (2 years)
    • Developed B2B payment processing systems using Node.js and PostgreSQL, enabling enterprise clients to automate cash cycles and reduce payment processing failures by 15%. • Implemented a microservices-based backend using Node.js and Express, handling enterprise payment automation, invoicing, and B2B transaction processing, improving scalability by 40%. • Integrated Python-based machine learning models for predicting payment behaviors and cash flow patterns using Python and TensorFlow, helping enterprise clients optimize their payment processes and reduce late payments by 20%. • Built RESTful APIs to integrate with enterprise payment systems and banking networks, ensuring secure and seamless B2B payment experiences for corporate custome
Education verified_user 0% verified
  • University of Texas
    Bachelor of Computer Science
    University of Texas
    Sep 2012 - Jun 2016 (3 years 10 months)