Senior Python & Full-Stack Developer at HCA Healthcare

Architected and delivered full-stack healthcare platforms using FastAPI, React, and Angular; migrated legacy monoliths to AWS microservices (Lambda, API Gateway, RDS, S3, SQS), improving fault tolerance and reducing infrastructure costs by 30%. Implemented OAuth 2.1, JWT, and RBAC, ensuring HIPAA and SOC 2 compliance. Deployed AI-powered claims processing and record summarization using OpenAI GPT, LangChain, and Pinecone, cutting manual review time by 35%. Managed EKS/AKS clusters for auto-scaling and zero-downtime updates. Built automated CI/CD pipelines (GitHub Actions, Jenkins) with blue-green and canary releases. Integrated WebRTC and Twilio APIs to enable secure real-time telehealth communication. Optimized frontend performance through lazy loading and code splitting. Defined SLOs/SLIs with Prometheus, Grafana, and CloudWatch, reducing MTTR by 40%. Mentored 8 engineers.

Senior Python Developer at Optum

Led backend development with Django REST Framework powering analytics dashboards in React / Angular, supporting thousands of active users. Designed and versioned REST APIs serving real-time and batch workloads across distributed systems. Integrated EHR systems (Cerner, EPIC) via FHIR/HL7, enabling secure data exchange and interoperability. Built scalable task orchestration using Celery + Redis, processing 2M+ background jobs daily with optimized throughput. Deployed TensorFlow and scikit-learn models for fraud detection and risk scoring, increasing prediction accuracy by 20%. Developed AI-driven retrieval systems using Azure Cognitive Search and custom embeddings, reducing diagnosis turnaround time by 25%. Automated deployments via Helm charts and Azure DevOps, reducing release failures by 60%. Hardened AKS clusters with RBAC, secret management, and network policies to enhance workload security. Implemented environment provisioning with Terraform + Ansible, minimizing environment drift

Python & Full-Stack Developer at Improving

Built financial and client-facing applications using Django REST API backends with Angular and Vue.js frontends. Delivered role-based authentication, access control, and audit logging to meet enterprise compliance standards. Automated reporting pipelines with Celery/Redis, reducing manual processing by 40%. Established Azure DevOps pipelines for containerized deployments, cutting release times by 50%. Developed Terraform modules to standardize infrastructure provisioning, improving deployment efficiency. Optimized PostgreSQL schemas and queries, improving dashboard performance by 60%. Increased test coverage to 95% with pytest, Jest, and Jasmine. Authored CI/CD documentation and onboarding materials.

Junior Full-Stack Python Developer at Headspring

Developed HR and payroll systems using Flask APIs with AngularJS / React frontends. Delivered RBAC, authentication, and audit logging to meet enterprise compliance. Automated deployment workflows with CircleCI and Git hooks, shortening release cycles by 35%. Documented APIs via Swagger/OpenAPI, improving internal developer efficiency. Migrated legacy SOAP/XML services to REST APIs, cutting integration costs by 25%. Collaborated directly with clients during design sessions to align product roadmaps with business needs. Reduced production bug resolution time by 20% through proactive monitoring and debugging.

Senior Python & Full-Stack Developer at HCA Healthcare (Remote)

Architected and delivered full-stack healthcare platforms using FastAPI, React, and Angular, managing 1M+ patient records with enterprise-grade security. Migrated legacy monoliths to AWS microservices (Lambda, API Gateway, RDS, S3, SQS), improving fault tolerance and reducing infrastructure costs by 30%. Implemented OAuth 2.1, JWT, and RBAC, ensuring HIPAA and SOC 2 compliance. Deployed AI-powered claims processing and record summarization using OpenAI GPT, LangChain, and Pinecone, cutting manual review time by 35%. Managed EKS/AKS clusters for auto-scaling and zero-downtime updates. Built automated CI/CD pipelines (GitHub Actions, Jenkins) with blue-green and canary releases, accelerating deployment cycles by 40%. Integrated WebRTC and Twilio APIs to enable secure real-time telehealth communication. Optimized frontend performance through lazy loading and code splitting, reducing load times by 30%. Defined SLOs/SLIs with Prometheus, Grafana, and CloudWatch, reducing MTTR by 40%. Mentor

Senior Python Developer at Optum (Remote)

Led backend development with Django REST Framework powering analytics dashboards in React/Angular, supporting thousands of active users. Designed and versioned REST APIs serving real-time and batch workloads across distributed systems. Integrated EHR systems (Cerner, EPIC) via FHIR/HL7, enabling secure data exchange and interoperability. Built scalable task orchestration using Celery + Redis, processing 2M+ background jobs daily with optimized throughput. Deployed TensorFlow and scikit-learn models for fraud detection and risk scoring, increasing prediction accuracy by 20%. Developed AI-driven retrieval systems using Azure Cognitive Search and custom embeddings, reducing diagnosis turnaround time by 25%. Automated deployments via Helm charts and Azure DevOps, reducing release failures by 60%. Hardened AKS clusters with RBAC, secret management, and network policies to enhance workload security. Implemented environment provisioning with Terraform + Ansible, minimizing environment drift a

Python & Full-Stack Developer at Improving

Built financial and client-facing applications using Django REST API backends with Angular and Vue.js frontends. Delivered role-based authentication, access control, and audit logging to meet enterprise compliance standards. Automated reporting pipelines with Celery/Redis, reducing manual processing by 40%. Established Azure DevOps pipelines for containerized deployments, cutting release times by 50%. Developed Terraform modules to standardize infrastructure provisioning, improving deployment efficiency. Optimized PostgreSQL schemas and queries, improving dashboard performance by 60%. Increased test coverage to 95% with pytest, Jest, and Jasmine, boosting release reliability. Authored CI/CD documentation and onboarding materials, streamlining new engineer ramp-up by 30%.