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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.…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.

Konstantinos Vergopoulos

AI Engineer, Data Scientist, Programmer, +1

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

Work Experience

Machine Learning Engineer at LogicStar AG

March 1, 2025 - March 1, 2026

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.

Machine Student Researcher at LogicStar AG

August 1, 2024 - February 1, 2025

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.

Teaching Assistant at ETH Zurich

September 1, 2023 - February 1, 2025

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.

Research Assistant at Centre for Research and Technology Hellas (CERTH)

September 1, 2021 - August 31, 2022

Implemented AR tools within the iProduce project for enhanced consumer goods product design. Contributed to applied ML pipelines for speaker diarization, including audio processing and model evaluation under real-world conditions.

Research Intern at DataViva GR

August 1, 2020 - November 1, 2020

Developed mixed-integer linear programming (MILP) models to optimize supply chain inventory allocation. Benchmarked linear optimization solvers and achieved ~10x runtime speedup versus baseline heuristics.