09/09/2026 updated
100 % available
Senior AI Full Stack Engineer | Healthcare AI | FastAPI | React | LLMs
USA
Worldwide
Bachelor of Computer Science (BCompSc)About me
Senior AI Full Stack Engineer with 10+ years of experience building production SaaS platforms, healthcare applications, AI-powered workflows, and cloud-native systems. Experienced in designing 0→1 platforms using Python, FastAPI, React/Next.js, PostgreSQL, Redis, AWS, Docker, and Kubernetes.
Application Programming Interfaces (APIs)Next.jsWorkflowsFast Healthcare Interoperability ResourcesBackendFastAPIHealth Level Seven InternationalFull Stack DevelopmentFront End Software DevelopmentArtificial Intelligence Markup Language (AIML)
Python & FastAPI Backend Development
Extensive experience building scalable backend services and REST/GraphQL APIs using Python and FastAPI, including secure healthcare data handling, database optimization, and cloud-native deployments.
React & Next.js Frontend Development
Development of modern, responsive web applications and healthcare dashboards using React and Next.js for clinical users, healthcare administrators, and operations teams.
AI & LLM Integration (RAG Pipelines, AI Agents)
Building AI-powered clinical assistants, RAG pipelines, and agent-based workflows using LLMs and frameworks such as LangGraph and OpenAI API to improve documentation, decision support, and workflow automation.
Healthcare Data Standards (FHIR & HL7)
Integration of healthcare data using FHIR R4 and HL7 standards to connect EHR systems, normalize patient information, and create standardized data processing pipelines.
Cloud Infrastructure (AWS, Docker, Kubernetes)
Implementation of cloud-native infrastructure using Amazon Web Services, Docker, Kubernetes, and CI/CD pipelines for production-grade SaaS platforms.
PostgreSQL & Redis Database Management
Design and management of PostgreSQL database architectures for healthcare workflows and reporting systems, combined with Redis caching strategies to improve application performance.
Microservices Architecture
Design and development of microservice-based architectures supporting scalable, maintainable, and production-ready healthcare SaaS applications.
TypeScript & Node.js
Development of type-safe frontend and backend applications using TypeScript and Node.js within modern full stack environments.
AI Agent Development & OpenAI API
Development of intelligent AI agents and automation platforms leveraging OpenAI API, LangGraph, and Supabase for healthcare and business workflow solutions.
Extensive experience building scalable backend services and REST/GraphQL APIs using Python and FastAPI, including secure healthcare data handling, database optimization, and cloud-native deployments.
React & Next.js Frontend Development
Development of modern, responsive web applications and healthcare dashboards using React and Next.js for clinical users, healthcare administrators, and operations teams.
AI & LLM Integration (RAG Pipelines, AI Agents)
Building AI-powered clinical assistants, RAG pipelines, and agent-based workflows using LLMs and frameworks such as LangGraph and OpenAI API to improve documentation, decision support, and workflow automation.
Healthcare Data Standards (FHIR & HL7)
Integration of healthcare data using FHIR R4 and HL7 standards to connect EHR systems, normalize patient information, and create standardized data processing pipelines.
Cloud Infrastructure (AWS, Docker, Kubernetes)
Implementation of cloud-native infrastructure using Amazon Web Services, Docker, Kubernetes, and CI/CD pipelines for production-grade SaaS platforms.
PostgreSQL & Redis Database Management
Design and management of PostgreSQL database architectures for healthcare workflows and reporting systems, combined with Redis caching strategies to improve application performance.
Microservices Architecture
Design and development of microservice-based architectures supporting scalable, maintainable, and production-ready healthcare SaaS applications.
TypeScript & Node.js
Development of type-safe frontend and backend applications using TypeScript and Node.js within modern full stack environments.
AI Agent Development & OpenAI API
Development of intelligent AI agents and automation platforms leveraging OpenAI API, LangGraph, and Supabase for healthcare and business workflow solutions.
Project history
Designed and developed a healthcare AI platform for managing clinical workflows, provider assistance, and healthcare data processing. Built backend services using Python, FastAPI, PostgreSQL, Redis, and REST/GraphQL APIs. Developed modern healthcare dashboards using React and Next.js. Integrated healthcare data using FHIR R4 and HL7 standards. Built AI-powered clinical assistants using LLMs, RAG pipelines, and agent-based workflows. Implemented cloud-native infrastructure using AWS, Docker, Kubernetes, and CI/CD pipelines.
Led development of a cloud-based healthcare SaaS platform supporting patient data workflows and healthcare analytics. Built scalable backend APIs using FastAPI and PostgreSQL. Developed frontend applications using React and Next.js. Created integrations with external healthcare systems using FHIR APIs and HL7 interfaces. Implemented AI features including document processing, medical text analysis, and intelligent search using LLM and RAG approaches. Improved application performance through database optimization and Redis caching strategies.
Built healthcare SaaS applications from initial concept through production deployment. Developed backend services and APIs using Python and modern web technologies. Created responsive web applications using React and JavaScript frameworks. Designed PostgreSQL database architectures for healthcare workflows and reporting systems. Integrated healthcare data sources and created standardized data processing pipelines. Developed automation tools to streamline clinical documentation workflows.