Samuel Gyorfi
Machine Learning Engineer | Production ML & MLOps | Python, FastAPI, Docker, Kubernetes | RAG, OCR, Supervised Learning | $8M+ Cost Savings
- Role
- Machine Learning Engineer Ii at Centene Corporation
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Samuel Gyorfi
Machine Learning Engineer with experience building production-grade ML systems that deliver measurable business impact. I specialize in taking models from concept to deployment—designing scalable applications, improving ML infrastructure, and reducing operational costs in complex, regulated environments.In my current role at Centene, I’ve delivered $8M+ in annual cost savings by applying machine learning, optimization, and automation to high-volume healthcare workflows. My work spans the full ML lifecycle, from data extraction and model training to API development, CI/CD, and disaster recovery.Technical focus- Languages & Tools: Python, SQL, Docker, Kubernetes, Helm, Databricks- ML & APIs: FastAPI, Scikit-learn, XGBoost, LightGBM, Optuna- Systems: CI/CD, microservices, monitoring (Grafana, Prometheus, Dynatrace), disaster recovery- Cloud: AWS (Cloud Practitioner certified)I’m especially interested in roles focused on Applied ML, ML Engineering, or MLOps, where strong engineering practices and real-world impact matter as much as model performance.
Experience
Machine Learning Engineer Ii
Jan 2024 — Present · New York, NY, US
Developing a reusable retrieval-augmented generation (RAG) application template that reduces development time for engineering teams while ensuring consistent, best-practice implementations Created a FastAPI application containing an optical character recognition (OCR) model intended to process millions of documents by replacing AWS Textract Supervised an intern’s development of a FastAPI application containing a document classification model intended to process thousands of files with a 97% accuracy Configured disaster recovery for applications by implementing automated backups, redundant dependencies, and a traffic failover mechanism, ensuring rapid restoration of services during system outages Built a scheduled job to automate retrieval, reorientation, and return of insurance enrollment forms
Education
Georgia Institute of Technology
Bachelor's degree, Industrial Engineering
2017 — 2021
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