Steven Chen

Senior Software Engineer

Brooklyn, United States

Summary

Full Stack Software Engineer and Salesforce Application/Integration Architect with 10+ years delivering scalable backend and frontend solutions across healthcare, financial services, and retail SaaS. Salesforce experience since 2019, including Apex, Lightning Components/LWC, Visualforce Pages, Flows, SOQL/SOSL, API integrations, security model design, and CRM workflow delivery. Backend expertise includes Python, Rust, Go, Node.js, microservices, REST/GraphQL APIs, event-driven architecture, and cloud-native systems. Spearheaded systems processing over $840M in financial transactions and optimized healthcare workflows impacting millions of clinical events daily, driving 34% faster loan approvals and 17% lower clinical system latency.

Languages:

English

Experience

NYU Langone Health  09/2021 - Present
Lead Architect / Senior Software Engineer
• Led Salesforce delivery for healthcare workflow initiatives, aligning CRM data models, case/task routing, and provider-facing operational workflows with HIPAA-compliant clinical platforms.

• Built and enhanced Apex services, Lightning Components/LWC, Visualforce Pages, Flows, and REST integrations supporting care coordination, clinical operations dashboards, and secure user workflows.

• Engineered Python and Go-based HIPAA-compliant microservices supporting clinical workflows, increasing throughput of patient data exchanges by 22% while reducing latency by 17% during peak usage.

• Implemented secure role-based access controls, Salesforce permission patterns, and audit logging, decreasing PHI exposure incidents by 15% and enhancing compliance with healthcare regulations.

• Collaborated with clinical informatics and product teams to develop FHIR API integrations facilitating interoperability with Epic and Cerner EHR systems, improving care coordination efficiency by 18%.

• Optimized SQL Server database queries and introduced caching layers that accelerated clinical decision support response times by 16%, enhancing provider workflow productivity.

 

American Express  07/2019 – 08/2021
Senior Software Engineer
• Developed Salesforce CRM integrations and Lightning-based workflow components supporting lending, underwriting, and customer operations, improving visibility into approval and document review processes.

• Architected and delivered a React/Redux frontend coupled with Python and Node.js microservices for a mortgage underwriting platform handling $840M in loan volume, reducing approval cycles by 34%.

• Devised Python automation services with AWS Step Functions and Lambda orchestrations to automate 17 underwriting processes, cutting manual processing by 63 hours weekly and boosting data accuracy by 28%.

• Developed AI-powered document classification pipelines using AWS SageMaker and S3, achieving 91% classification accuracy and halving manual review times.

• Implemented GraphQL APIs and Python/Go RESTful services across 14 backend microservices, improving cross-team integration velocity by 41% and decreasing average API latency from 890ms to 340ms.

• Streamlined CI/CD pipelines with AWS CodePipeline and ECS Fargate, accelerating deployment frequency threefold while maintaining rigorous PCI DSS security standards.

 

Revolent Group  10/2014 – 06/2019
Full Stack Web Developer / Salesforce Developer
• Developed Salesforce customizations using Apex, Visualforce Pages, Lightning Components, Flows, and SOQL for retail/POS workflows including inventory, orders, cashier checkout, reporting, chat, and task management.

• Developed a fintech payment platform using Go, Rust, Node.js, React, and TypeScript incorporating AI-driven payment routing algorithms,reducing transaction latency by 43% across 127,000 monthly blockchain transactions.

• Integrated OpenAI and Claude LLM APIs with DynamoDB vector stores to enhance fraud detection workflows, lowering false positive rates by 33% while sustaining 99.7% system availability.

• Designed event-driven architectures using Go services, AWS Lambda, and Step Functions for distributed payment processing, cutting operational overhead by 38% and enabling real-time transaction monitoring.

• Established automated CI/CD pipelines via GitHub Actions and AWS ECS supporting SOC 2 compliant deployments, shrinking release cycles from six weeks to nine days.

• Built MLOps observability dashboards with AWS CloudWatch for AI model performance, facilitating delivery of 22 AI-enhanced features with 97% uptime and reliability.

Skills

Amazon Web Services (AWS), AngularJS, Artificial Intelligence (AI), Backbone.js, Backend Development, Blockchain, Django, Django REST Framework, Fullstack Development, JavaScript, Machine Learning, NumPy, Pandas, PySide, PyTorch, ReactJS, Vue.js, Web Development, Web Scraping