Konstantinos Vergopoulos
Machine learning engineer and graduate researcher based in Zurich, focused on LLM/agent systems, evaluation, and automated coding workflows.
About
Machine learning engineer and graduate researcher based in Zurich, focused on LLM/agent systems, evaluation, and automated coding workflows. I build scalable ML infrastructure, orchestration pipelines, and benchmarking suites for repository-level tasks.
Previously, I developed end-to-end automated agents and large-scale datasets from thousands of open-source repositories, and supported teaching and research in deep learning, computer vision, and applied ML pipelines.
- 3 years' experience
- Joined July 2026
Skills· 4
Industry experience
- Computers & Electronics
- Education
- Healthcare
- Professional Services
- Software & Internet
Work experience· 5 roles
Contributed to multi-agent LLM workflows for automated environment setup, test generation, and code linting. Improved ML infrastructure including task orchestration, backend integration, and GCP cloud deployment. Designed benchmarking pipelines to evaluate LLMs and coding agents across repository-level tasks.
Developed SetUpAgent, a fully automated LLM agent to set up execution environments for Python projects. Designed an end-to-end repository-level coding task generation pipeline. Created large-scale datasets from 8000+ open-source repositories.
Organized weekly tutorial sessions; designed and graded assignments and exam questions. Served as TA in graduate courses including Image Analysis and Computer Vision and Deep Learning.
Education
Certifications and awards
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