Senior Full Stack Engineer Fintech AI/Payments Expert
Resume:
James White Software Engineer
****.*******@*****.***
Antioch, CA
linkedin.com/in/jamesjzwu
Profile
Senior Full Stack Engineer with 11+ years of experience building scalable applications across fintech, AI/ML, SaaS, and cloud platforms at Meta, Stripe, and Google. Expertise in React, TypeScript, Node.js, Python, Go, Java, and Web3 technologies. Proven track record in payment systems, AI integration, developer platforms, and compliance-driven applications (PCI DSS, HIPAA).
Professional Experience
Software Engineer, Meta 09/2020 – Present
New York, United States
Designed and built scalable, distributed systems for PyTorch machine learning framework and HHVM infrastructure, leveraging Meta's internal microservice architecture and AI-powered development tools to support millions of developers worldwide.
•Delivered AI-first developer tools with React, TypeScript, Node.js, and Python, reducing onboarding time by 50% and improving productivity by 35%.
•Built end to end full stack features using React/TypeScript and Node.js/Python, integrating LLM inference services with a vector database (FAISS/Pinecone) and ML pipelines (Airflow/Prefect) for retrieval augmented generation and real time recommendations.
•Built real-time inference services & APIs (GraphQL, gRPC) for PyTorch ecosystem, enabling AI-powered code completion and large-scale model training.
•Built scalable backend services using Python (Flask) and Go microservices, implementing distributed architecture with PostgreSQL and Redis.
•Developed progressive web applications using React with styled-components and Tailwind CSS, integrating AI- powered features like intelligent form validation, predictive search, and automated content generation while achieving 95% mobile responsiveness.
•Implemented comprehensive CI/CD pipelines using GitHub Actions and Docker containerization, reducing deployment time by 40% through infrastructure-as-code practices and automated code review systems.
•Built real-time features using WebSocket connections and event-driven architectures, enabling live collaboration tools with AI-powered suggestions across distributed systems with Redis pub/sub and message queues.
•Deployed cloud-native microservices (Go, Python, Kubernetes, Docker) on AWS & GCP, handling millions of requests daily at 99.9% uptime.
•Optimized data layer (PostgreSQL, MongoDB, Redis) with advanced caching and query tuning, boosting performance by 45%.
•Built authentication and authorization systems using OAuth 2.0, JWT tokens, and role-based access control, integrating security monitoring while ensuring secure access to sensitive ML models and developer tools.
•Implemented monitoring and observability solutions using Prometheus, Grafana, and custom dashboards, reducing mean time to resolution (MTTR) by 25% and improving system reliability through proactive alerting.
•Developed automated testing frameworks using Jest, Cypress, and Python unittest, achieving comprehensive test coverage across frontend, backend, and integration layers while enabling reliable continuous deployment. Software Engineer, Stripe 01/2019 – 07/2020
San Francisco Bay Area
Architected and implemented high-throughput backend services powering payment processing, transaction validation, and compliance workflows across Stripe's ecosystem, with focus on security, scalability, and real-time fraud detection.
•Engineered full-stack payment processing applications using React, TypeScript, and Node.js, building customer-facing dashboards and admin interfaces with fraud detection that processed millions of transactions daily with 99.9% uptime.
•Developed RESTful APIs and microservices using Express.js and TypeScript, implementing secure payment workflows and PCI DSS compliance across 50+ countries and 135+ currencies with comprehensive error handling and risk assessment.
•Built real-time payment validation and fraud detection systems using machine learning models, reducing transaction failures by 15% and fraud losses by 30% through automated risk assessment and real-time monitoring.
•Optimized database performance using PostgreSQL and Redis caching strategies, reducing database load by 30% through query optimization and connection pooling.
•Implemented event-driven architectures using message queues and WebSocket connections for asynchronous payment processing, improving system resilience and enabling better error handling and retry mechanisms. Software Engineer, Meta 06/2016 – 12/2018 Menlo Park, CA
•Developed Hack Language compiler optimizations and language features using C++ and Python, maintaining type safety and backward compatibility across Meta's ecosystem.
•Delivered HIPAA compliant full stack healthcare platforms using React/TypeScript and Node.js/Python, integrating FHIR/HL7 EHR data and shipping via CI/CD on AWS/GCP.
•Implemented package management systems and dependency resolution services using Node.js and Express.js, improving build times by 25% and reducing dependency conflicts through intelligent version management.
•Built static analysis tools and linters using Python and JavaScript, processing millions of lines of code daily through automated code quality checks.
•Developed RESTful APIs and GraphQL endpoints for Hack language tooling ecosystem, enabling seamless integration with existing development workflows and improving developer experience across teams. Lead Teaching Assistant, Carnegie Mellon University 01/2014 – 05/2016 Pittsburgh, PA
•Taught data structures and algorithms to 200+ students annually and created automated grading tools in Python, cutting grading turnaround by 60%.
Software Engineering Intern, Facebook 06/2015 – 08/2015 Menlo Park, CA
•Built Ads/Measurement dashboards with React and optimized backend queries in Hack, boosting engagement and performance.
Software Engineering Intern, Google 05/2014 – 09/2014 Pittsburgh, PA
•Automated infrastructure provisioning and monitoring with Python, reducing manual operations by 30% and improving system reliability.
Education
Bachelor of Science (B.S.) in Computer Science,
Carnegie Mellon University
2013 – 2016
Grade: GPA: 3.96. In-major GPA: 4.00
Mathematics and Computer Science, Harvard University 2012 – 2013 Took undergraduate courses as part of invitational program for high school students Skills
Frontend
•React, Angular, TypeScript, JavaScript, Next.js
Databases & Caching
•PostgreSQL, MySQL, Redis, MongoDB
Message Queuing & Event Streaming
•Redis Pub/Sub, Apache Kafka, RabbitMQ, AWS SQS,
Event-driven Architecture, WebSocket
Machine Learning & AI
•PyTorch, LLM, ML Pipelines, RAG
Backend
•Node.js, Express.js, Python, PHP, Hack Language,
Go, Java, TypeORM, RESTful APIs, GraphQL, gRPC,
Microservices
Cloud & DevOps
•AWS, GCP, Docker, CI/CD, Git, GitHub Actions,
Kubernetes, Serverless, Terraform
Payment & Financial Systems
•Stripe API, Payment Processing, PCI DSS Compliance
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