Ferhat Erata is an applied scientist and Yale PhD candidate with 11 years of experience building verifiable AI and formal-methods-driven software, now focusing on neurosymbolic computation and GenAI anti-hallucination at AWS. He combines deep expertise in automated reasoning, program analysis, and distributed-systems verification—work shaped by repeat internships in AWS’s Automated Reasoning Group and long-standing research in runtime verification and model-based testing. Ferhat has led multinational research projects and co-founded an R&D firm, demonstrating an unusual blend of academic rigor and applied engineering across industry consortia. He teaches operating systems and databases, signaling strong communication of complex concepts, and is driven by the goal of AI that can reason about, prove, and act on code rather than merely generate it.
11 years of coding experience
7 years of employment as a software developer
Vienna University of Technology
High School, Majored in mathematics and science, High School, Majored in mathematics and science at Bornova Anadolu Lisesi (İzmir Koleji)
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Dokuz Eylül Üniversitesi
Doctor of Philosophy - PhD, Computer Science, 4.00, Doctor of Philosophy - PhD, Computer Science, 4.00 at Yale University
Master’s Degree, Information Technology, Master’s Degree, Information Technology at Ege University
Contributions:117 pushes, 3 comments, 53 issues in 1 year 10 months
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Ferhat Erata - Applied Scientist at Amazon Web Services (AWS)