stefan krsteski

Education

MSc in Data Science - EPFL 2023 - 2025

Lausanne, Switzerland · GPA: 5.76/6.00 · 120 ECTS

EPFL is one of the world's top technical universities, ranked #11 globally and #3 in Europe for Data Science and Artificial Intelligence at the time of my studies (QS).

BSc Electrical & Computer Engineering - Ss. Cyril and Methodius University 2019 - 2023

Skopje, North Macedonia · GPA: 9.66/10.00 · With distinction (2nd in class) · 243 ECTS

Began studies in renewable energy at the Faculty of Electrical Engineering and Information Technologies, then transitioned to the Computer Engineering track after discovering a strong interest in this domain.


Experience

Sep 2025 - Present

Founding Engineer · Andromede AI

Lausanne, Switzerland

Advancing frontier-agent evaluation and post-training by building long-horizon, verifiable RL environments, spanning research, engineering, and infrastructure.

Sep 2024 - Mar 2026
1 yr 7 mos

Research Assistant & Teaching Assistant · EPFL

Lausanne, Switzerland

Worked on behavior simulation as part of the MegaBites project at the Data Science & AI Lab (dlab). Subsequently worked on AI safety at early stages of training large language models — reinforcement learning methods applied at the pretraining stage, spanning implementation, experimentation, and initial safety evaluations.

Also supported instruction and grading in a 600+ student graduate course (CS-401: Applied Data Analysis).

Feb - Aug 2025
7 mos

Data Science Intern (MSc Thesis) · Nestlé Research

Lausanne, Switzerland · supervised by dlab @ EPFL

Completed my thesis in industry, working with Giuseppe Russo on two independent projects:

1. Synthesize, then Rectify: a framework for simulating valid human survey responses with LLMs and statistical inference. Later continued as part of my research assistantship and extended into a paper.
2. Dietary data mining: a self-updating system that automatically scrapes, classifies, and extracts nutrition data from 30,000+ sources using LLMs with auto-prompt optimization.

Jul 2024
2 wks

Robotics Tutor · TechSpark Academy

Zuoz, Switzerland

Taught students to build and program autonomous robots using Arduino kits.

Apr - Jul 2023
4 mos

Machine Learning Engineer Intern · Netcetera

Skopje, North Macedonia

Integrated knowledge graphs into a BERT-based search engine, enabling hybrid retrieval that combined semantic and graph querying.

Oct - Dec 2022
3 mos

Machine Learning Engineer Intern · Emteq Labs

Skopje, North Macedonia

Built IMU- and video-based ML models for human activity recognition (HAR), investigating semi-automated dataset labeling approaches.

Apr - Sep 2022
6 mos

Machine Learning Research Intern · Jožef Stefan Institute

Ljubljana, Slovenia

Improved predictions of quality of life for heart failure patients by personalizing a gradient-boosted model at the user level.


Awards

2025

Best Paper Award at the ACL Workshop on Slavic Natural Language Processing (BSNLP) 2025 in Vienna.

2023 - 2025

Signal Processing Scholarship from IEEE Signal Processing Society. Awarded for excellence in signal processing research and academic achievements.

2024

ICASSP Signal Processing Cup - Grand Prize. 1st place among 50 teams at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) - the world's premier conference for signal processing research ($5,000 prize).

2024

ML Road Segmentation Challenge. 1st out of 58 teams as part of the ML course.

2023

Best Student Award at FEEIT, UKIM. 2nd place in BSc Electrical & Computer Engineering program - graduated with distinction.

2023

Hackathon Winner at Hasso Plattner Institute. 1st place in the federated learning challenge.

2019 - 2023

Academic Excellence Scholarship from the Ministry of Education, North Macedonia. Scholarship for outstanding academic performance throughout undergraduate studies.