I do my Master's in Data Science at ETH Zurich, focusing on the robustness of LLMs. My first professional experience was as an Android developer. Later, I used this knowledge to adapt Image Generation models to run on mobile devices that are very limited in compute power. During one of my internships, I was working on a project about Explainable AI. I noticed some underexplored topics, and for the last two years, I have been working on how to make LLMs more robust and reliable. Outside of my studies, I lead a podcast project at the ETH Entrepreneur Club. We invite experts from academia and industry to talk about how one can make the most out of their time at a university.

Mark Yavorskyi

I do my Master's in Data Science at ETH Zurich, focusing on the robustness of LLMs. My first professional experience was as an Android developer. Later, I used this knowledge to adapt Image Generation models to run on mobile devices that are very limited in compute power. During one of my internships, I was working on a project about Explainable AI. I noticed some underexplored topics, and for the last two years, I have been working on how to make LLMs more robust and reliable. Outside of my studies, I lead a podcast project at the ETH Entrepreneur Club. We invite experts from academia and industry to talk about how one can make the most out of their time at a university.

Available to hire

I do my Master’s in Data Science at ETH Zurich, focusing on the robustness of LLMs.

My first professional experience was as an Android developer. Later, I used this knowledge to adapt Image Generation models to run on mobile devices that are very limited in compute power.

During one of my internships, I was working on a project about Explainable AI. I noticed some underexplored topics, and for the last two years, I have been working on how to make LLMs more robust and reliable.

Outside of my studies, I lead a podcast project at the ETH Entrepreneur Club. We invite experts from academia and industry to talk about how one can make the most out of their time at a university.

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Experience Level

Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

Javanese
Advanced
Afar
Advanced

Work Experience

ML Research Intern at University of Waterloo
May 1, 2024 - August 1, 2024
Received $6,000 Mitacs Globalink Research Award for a research proposal on multimodal LLM robustness. Built an XAI tool to compare the influence of retrieved sources' modality (text vs. image) on LLM output by adapting the Counterfactual Explanation technique to the multimodal domain.
ML Research Intern at University of Toronto
May 1, 2023 - August 1, 2023
Selected among 600+ applicants, placing in the top 3%. Implemented a Sketch-to-Video generation pipeline using Diffusion Models and multiple ControlNets to create media, producing 3-second animations at 24 FPS.
Android Developer at AXEL (Duvon Corporation)
March 1, 2022 - June 1, 2023
Achieved a 5% increase in user base by implementing Google Play Instant application, generating $50k/year. Prepared the core MVI research and proposed architecture refactoring, leading to a 30% reduction in bugs.

Education

Master in Data Science at ETH Zurich
January 11, 2030 - June 1, 2027
Bachelor in Computer Science at ETH Zurich
January 11, 2030 - August 1, 2025
Master in Data Science at ETH Zurich
January 11, 2030 - June 1, 2027
Bachelor in Computer Science at ETH Zurich
January 11, 2030 - August 1, 2025

Qualifications

TensorFlow Certification
January 11, 2030 - March 22, 2026

Industry Experience

Software & Internet, Computers & Electronics, Education, Media & Entertainment, Professional Services, Other