06/25/2026 updated
SC
100 % available
Senior Full Stack Software Engineer | Healthcare & Fintech | Cloud-Native Microservices
Brooklyn, USA
Only remote
Bachelor's DegreeAbout me
Full Stack Software Engineer with expertise in architecting and delivering scalable backend and frontend solutions across healthcare and financial domains.
PHPC Sharp (Programming Language)Cloud EngineeringPython (Programming Language)Node.jsCloud ServicesTypeScriptRust (Programming Language).NET CoreAWS LambdaVue.jsAWS AppSyncAWS ECSFull Stack DevelopmentSolidity
Cloud-Native Microservices & AWS Architecture
Expertise in designing and deploying cloud-native microservices using AWS Lambda, Step Functions, ECS Fargate, CodePipeline, SageMaker, S3, and CloudWatch. Proficiency in event-driven architectures and serverless solutions that drive measurable performance improvements.
Backend Development with Node.js & TypeScript
Strong command of Node.js and TypeScript for building scalable backend systems, RESTful APIs, and GraphQL services. Experience architecting microservices backends handling hundreds of millions in financial transactions and high-volume clinical data exchanges.
Healthcare Interoperability & HIPAA Compliance
Deep knowledge of healthcare data standards including FHIR R4 and HL7 v2, with hands-on experience integrating with Epic and Cerner EHR systems. Proven track record implementing HIPAA-compliant solutions, secure role-based access controls, and audit logging to reduce PHI exposure incidents.
Frontend Development with React & Redux
Proficiency in building responsive, real-time frontend applications using React, Redux, and TypeScript, including GraphQL client integrations and responsive web design principles.
CI/CD Pipelines & DevOps Automation
Experience establishing and streamlining CI/CD pipelines using AWS CodePipeline, GitHub Actions, and AWS ECS, accelerating deployment frequency while maintaining rigorous security standards such as PCI DSS and SOC 2 compliance.
AI/ML Pipelines & Document Classification
Hands-on experience developing AI-powered document classification pipelines using AWS SageMaker and S3, as well as integrating OpenAI and Claude LLM APIs with DynamoDB vector stores for fraud detection and AI-driven workflows.
SQL Server & Data Caching Strategies
Optimization of SQL Server database queries and implementation of caching layers to accelerate response times. Additional experience with DynamoDB, vector search, and data caching strategies for high-performance systems.
Monitoring & Observability
Building MLOps observability dashboards with AWS CloudWatch for AI model performance monitoring, ensuring high uptime and reliability across distributed systems.
Expertise in designing and deploying cloud-native microservices using AWS Lambda, Step Functions, ECS Fargate, CodePipeline, SageMaker, S3, and CloudWatch. Proficiency in event-driven architectures and serverless solutions that drive measurable performance improvements.
Backend Development with Node.js & TypeScript
Strong command of Node.js and TypeScript for building scalable backend systems, RESTful APIs, and GraphQL services. Experience architecting microservices backends handling hundreds of millions in financial transactions and high-volume clinical data exchanges.
Healthcare Interoperability & HIPAA Compliance
Deep knowledge of healthcare data standards including FHIR R4 and HL7 v2, with hands-on experience integrating with Epic and Cerner EHR systems. Proven track record implementing HIPAA-compliant solutions, secure role-based access controls, and audit logging to reduce PHI exposure incidents.
Frontend Development with React & Redux
Proficiency in building responsive, real-time frontend applications using React, Redux, and TypeScript, including GraphQL client integrations and responsive web design principles.
CI/CD Pipelines & DevOps Automation
Experience establishing and streamlining CI/CD pipelines using AWS CodePipeline, GitHub Actions, and AWS ECS, accelerating deployment frequency while maintaining rigorous security standards such as PCI DSS and SOC 2 compliance.
AI/ML Pipelines & Document Classification
Hands-on experience developing AI-powered document classification pipelines using AWS SageMaker and S3, as well as integrating OpenAI and Claude LLM APIs with DynamoDB vector stores for fraud detection and AI-driven workflows.
SQL Server & Data Caching Strategies
Optimization of SQL Server database queries and implementation of caching layers to accelerate response times. Additional experience with DynamoDB, vector search, and data caching strategies for high-performance systems.
Monitoring & Observability
Building MLOps observability dashboards with AWS CloudWatch for AI model performance monitoring, ensuring high uptime and reliability across distributed systems.
Experience
Professional experience10+ years
Freelancer since2014
Languages
EnglishNative speaker
Project history
Engineered HIPAA-compliant microservices supporting clinical workflows, increasing throughput of patient data exchanges by 22% while reducing latency by 17%. Implemented secure role-based access controls and audit logging, decreasing PHI exposure incidents by 15%. Developed FHIR API integrations with Epic and Cerner EHR systems, improving care coordination efficiency by 18%. Optimized SQL Server database queries and introduced caching layers accelerating clinical decision support response times by 16%. Led cross-functional workshops on HL7 v2 and FHIR R4 standards, raising interoperability implementation success by 30%.
Architected and delivered a React/Redux frontend with Node.js microservices backend for a mortgage underwriting platform handling $840M in loan volume, reducing approval cycles by 34%. Devised AWS Step Functions and Lambda orchestrations to automate 17 underwriting processes, cutting manual processing by 63 hours weekly. Developed AI-powered document classification pipelines using AWS SageMaker and S3 with 91% classification accuracy. Implemented GraphQL APIs and RESTful services for 14 backend microservices, improving cross-team integration velocity by 41%. Streamlined CI/CD pipelines with AWS CodePipeline and ECS Fargate, accelerating deployment frequency threefold while maintaining PCI DSS security standards.
Developed a fintech payment platform using Node.js, React, and TypeScript with 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%. Designed event-driven architectures using AWS Lambda and Step Functions for distributed payment processing, cutting operational overhead by 38%. Established automated CI/CD pipelines via GitHub Actions and AWS ECS supporting SOC 2 compliant deployments. Built MLOps observability dashboards with AWS CloudWatch for AI model performance, delivering 22 AI-enhanced features with 97% uptime.
Certificates
Salesforce Certified Integration Architect
Salesforce2022
Salesforce Certified Application Architect
Salesforce2021