Summary
Fady Missiha is a Full Stack Machine Learning Engineer with eight years of experience building secure, high-performance banking applications and big data solutions. He combines hands-on expertise in ML and data engineering (Python, R, Spark/PySpark) with full-stack development using Java Spring, Angular/React, C#, and modern deployment tools like Docker, Kubernetes, and Red Hat OpenShift. His work spans the full data lifecycle—from ETL and fraud-detection models to production-grade APIs and UI dashboards—highlighted by a freelance project for financial transactions fraud prevention using multiple ML and deep learning approaches. Based in Sarasota, Florida, he holds an MS in Data Analytics and is drawn to AI-driven transformation to modernize legacy banking systems. An attentive practitioner of secure, auditable architectures, he frequently integrates search and observability stacks (Solr, ELK) to make models reliable and explainable in production.
8 years of coding experience
Master of Science - MS, Data Analytics, 3.6, Master of Science - MS, Data Analytics, 3.6 at Western Governors University