I'm Viglundur Mettinisson, a Senior Python Backend Engineer and AI/ML Specialist with 10+ years of experience building scalable, reliable backend systems and AI-enabled products. I excel in Python (Django/FastAPI), microservices, distributed architectures, and cloud delivery on AWS/Azure/Kubernetes, delivering NLP and LLM/RAG features with evaluation, monitoring, and safety guardrails. I focus on secure, scalable APIs, data pipelines, and ML model lifecycle—training, drift monitoring, and production-grade deployment. I enjoy mentoring engineers, driving observability with Prometheus/Grafana, and integrating AI into clinical and healthcare workflows while ensuring performance and data protection.

Viglundur Mettinisson

I'm Viglundur Mettinisson, a Senior Python Backend Engineer and AI/ML Specialist with 10+ years of experience building scalable, reliable backend systems and AI-enabled products. I excel in Python (Django/FastAPI), microservices, distributed architectures, and cloud delivery on AWS/Azure/Kubernetes, delivering NLP and LLM/RAG features with evaluation, monitoring, and safety guardrails. I focus on secure, scalable APIs, data pipelines, and ML model lifecycle—training, drift monitoring, and production-grade deployment. I enjoy mentoring engineers, driving observability with Prometheus/Grafana, and integrating AI into clinical and healthcare workflows while ensuring performance and data protection.

Available to hire

I’m Viglundur Mettinisson, a Senior Python Backend Engineer and AI/ML Specialist with 10+ years of experience building scalable, reliable backend systems and AI-enabled products. I excel in Python (Django/FastAPI), microservices, distributed architectures, and cloud delivery on AWS/Azure/Kubernetes, delivering NLP and LLM/RAG features with evaluation, monitoring, and safety guardrails.

I focus on secure, scalable APIs, data pipelines, and ML model lifecycle—training, drift monitoring, and production-grade deployment. I enjoy mentoring engineers, driving observability with Prometheus/Grafana, and integrating AI into clinical and healthcare workflows while ensuring performance and data protection.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Senior Software Engineer at Rula
June 1, 2024 - January 1, 2026
Built AI-driven backend systems using Python/Django microservices and ML pipelines for clinical workflows. Designed secure APIs (Django REST Framework) and async processing (Celery); deployed on Azure AKS and VMs. Built batch + real-time pipelines over EHR notes/events; delivered versioned features for ML and reporting. Delivered NLP entity extraction + normalization to produce analytics-ready datasets. Built a RAG-based LLM feature using embeddings + vector search with citations, thresholds and clinician review to reduce hallucinations. Trained /monitored ML models (risk scoring, forecasting) with scikit-learn; added drift detection and automated evaluations. Integrated Kafka for high-volume events; implemented idempotency and retries for message integrity. Implemented OAuth2 /OIDC, JWT, and RBAC for fine-grained access control. Optimized PostgreSQL indexing and queries, reducing API latency ~30% under peak load. Provisioned infrastructure with Terraform; mentored engineers on testing
Senior Full-Stack Engineer at CareSimple
October 1, 2022 - May 1, 2024
Led an 8-person team delivering healthcare workflows on AWS with Python/FastAPI + React/TypeScript. Built a real-time logistics backend for medical-device delivery; improved shipment tracking for 50K+ users. Deployed FastAPI microservices on AWS ECS/Fargate; improved availability ~40% and scaled to 100K+ transactions/month. Integrated DHL/FedEx APIs; normalized carrier events to unify shipping workflows (30K+ deliveries/year). Re-architected peak workflows using AWS Lambda, SQS, and DynamoDB to eliminate queue backlogs and increase throughput. Improved performance with Redis + PostgreSQL caching; reduced API latency ~40% and cut DB load ~30%. Added Selenium regression tests and standardized CI/CD to reduce defects and improve release consistency.
Full-Stack Engineer at MedSpecialized
July 1, 2018 - September 1, 2022
Delivered HIPAA-aligned telehealth features using Python (Django) and React/TypeScript. Built scalable Django APIs (REST; GraphQL where needed) and improved reliability as requirements grew. Optimized PostgreSQL queries/indexing/ORM usage on high-traffic endpoints. Standardized CI/CD with automated tests and static checks; improved frontend reliability with Jest + RTL. Containerized services with Docker; deployed on AWS (ECS/EC2) with autoscaling and environment configs. Collaborated in a 16-person cross-functional Agile team delivering compliant features.
Full-Stack Developer at Self-Employed
November 1, 2015 - July 1, 2018
Built patient-facing UI (HTML/CSS/JavaScript, React) and supported clinician/support workflows. Maintained Python (Flask/Django) REST APIs for insurance claims and repayments. Wrote unit/integration tests, documented APIs with OpenAPI/Swagger, and supported production troubleshooting.

Education

B.S. Computer Science at Ateneo de Manila University
August 1, 2011 - October 1, 2015
B.S. Computer Science at Ateneo de Manila University
August 1, 2011 - October 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more