CV

Education

• MSc in Computer Science, ETH Zurich, 2025 – 2027 (expected)
  • CGPA: 5.7/6.0
  • Relevant Coursework: Probabilistic AI, Hardware Acceleration for Data Processing, Cloud Computing Architecture
• BSc in Computer Engineering, Middle East Technical University, 2020 – 2025
  • CGPA: 3.91/4.0
  • Graduation Rank: 6th/286
  • Relevant Coursework: Guided Research, Machine Learning, Deep Learning, Big Data Engineering, Logic for Computer Science
• Erasmus Exchange, Saarland University / Max Planck Institute for Informatics, Apr 2024 – Sep 2024

Experience

• Teaching Assistant – ETH Zurich MAS AID Program (Sep 2025 – Present)
  • Working as a Teaching Assistant for the MAS AID program, enhancing managers’ technical understanding of machine learning.
  • Developed a multilingual Legal RAG system indexing 60k+ sources, implementing an evaluation pipeline using keyword matching and LLM judges. Created 5 weeks of curriculum and coding notebooks.
  • Engineered synthetic patient data for an EHR classification project, optimizing signal density for meaningful learning outcomes.
• Guest Researcher – UIUC Intelligent CAT Lab (Jun 2025 – Sep 2025)
  • Developed a multi-step pipeline to automatically collect buggy in-context learning (ICL) examples from public GitHub repositories.
  • Mined and compiled a dataset of buggy code and corresponding fixes to enhance AI coding agents.
  • Supervised by Prof. Reyhan Jabbarvand.
• Undergraduate Researcher – Applied NLP Lab, METU (Oct 2024 – Sep 2025)
  • Developed the reliability dataset for the OpenEthics paper.
  • Implemented the LLM judge and rejection evaluation pipelines.
  • Co-authored sections of the research paper analyzing LLM ethical performance in Turkish and English.
  • Supervised by Prof. Çağrı Toraman.
• AI Engineer – Eluvium, London, UK (Feb 2025 – Mar 2025)
  • Designed and implemented an end-to-end AI agent for masking PII in emails while preserving original style.
  • Researched and tested LangSmith autoevaluators to optimize prompts and create datasets.
• Guest Researcher – ETH Zurich LRE Lab (Feb 2025 – Mar 2025)
  • Replicated a Chain-of-Thought research paper to validate findings for an upcoming publication.
• AI Engineer Intern – Nevitech, Istanbul, TR (Jan 2025 – Feb 2025)
  • Developed an AI agent for classifying ambiguous item names into UNSPSC codes, commissioned by Turkcell.
  • Achieved 90%+ accuracy integrating 5+ LLM providers with few-shot prompting via vector search.
• Undergraduate Researcher – ImageLab, METU (Nov 2023 – Apr 2024)
  • Researched low memory cost real-time image classification using deep equilibrium (DEQ) architecture.
  • Supervised by Dr. Gökberk Cinbiş and Dr. Emre Akbaş.
• Candidate Software Engineer – Turkish Aerospace (Nov 2023 – Jan 2024)
  • Contributed to porting a C# desktop application to a secure website.
• Software Engineer Intern – SRDC Software (Jul 2023 – Aug 2023)
  • Developed a CRUD front-end application for the ADLIFE project in Angular for managing FHIR data types.
  • Tools: socket programming, multithread programming, PostgreSQL, Spring Boot, JDBC, MEAN stack.

Publications

OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language Models

Yıldırım Özen, Erinç Çetin, Kaan Engür, Elif Naz Demiryılmaz, Çağrı Toraman. (2025). "OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language Models." ArXiv Preprint.

Skills

• Languages: Turkish (native), English (C1 / IELTS 8)
• Programming Languages: Python, C++, C, SQL
• NLP: LangChain, RAG, LLM, Agentic workflows, Text-to-SQL
• ML: PyTorch, NumPy
• Other Interests: Operating Systems