Summary
Attila Egyedi is a seasoned software engineer with over two decades in development and a 17-year focus on Java, now based in Palo Alto and working on biomedical metadata tooling at Stanford Medicine. He blends practical engineering with system design—building microservices, Keycloak-based auth, Dockerized deployments, and a Neo4J-backed virtual filesystem that speeds permission checks. His background includes IAM product leadership and hands-on full-stack work from startups to AWS, where he shaped identity, provisioning and workflow integrations. Attila experiments regularly through personal projects and early prototypes (including a PHP product mock that secured funding and an Android language-learning game), showing a talent for proving concepts quickly. He holds an MSc in Computer Science (Machine Learning) from Georgia Tech and is comfortable turning complex research and clinical requirements into maintainable, deployable systems. Quietly interdisciplinary, he often reuses and recombines existing technologies in novel ways to deliver pragmatic, long-lived solutions.
10 years of coding experience
22 years of employment as a software developer
Computer Science Specialization, Computer Science, Computer Science Specialization, Computer Science at Kölcsey Ferenc National College
MSc in Computer Science, Machine Learning, GPA 3.9 of 4.0, MSc in Computer Science, Machine Learning, GPA 3.9 of 4.0 at Georgia Institute of Technology
BSc, Engineer in Automation and Computer Science, BSc, Engineer in Automation and Computer Science at Universitatea Tehnică din Cluj-Napoca
English, Hungarian, Romanian