Samuel Gair[cite: 2]
ETH Computer Science MSc | Machine Intelligence & Data Systems[cite: 2]
blah_at_blah.org | phone number[cite: 2]
"The question of whether a computer can think is no more interesting than the question of whether a submarine can swim." – Edsger W. Dijkstra
Education
ETH Zürich[cite: 2]
MSc Computer Science (Minor: Data Management Systems)[cite: 2]
Sep 2025 – Jul 2027[cite: 2]
ETH Zürich[cite: 2]
BSc Computer Science (Major: Machine Intelligence)[cite: 2]
Sep 2022 – Jul 2025[cite: 2]
- GPA: 5.1/6.0[cite: 2]
- Relevant Coursework: Probabilistic Artificial Intelligence, Parallel Programming, Systems Programming (All Grade 5.0)[cite: 2]
Research & Engineering Projects
High-Dimensional Signal Deconvolution Research[cite: 2]
- Pioneered a Python/R machine learning framework for proteomic deconvolution, achieving a 57.3% reduction in Mean Absolute Error.[cite: 2]
- Architected an end-to-end ML pipeline resulting in a co-authored poster presentation at ECCB 2026.[cite: 2]
Python R Machine Learning
Large Language Models & AI Safety[cite: 2]
- Engineered RAG pipelines in PyTorch and Hugging Face to mitigate LLM hallucinations.[cite: 2]
- Executed model-inversion attacks to reconstruct prompts, bypassing vision-language safety filters.[cite: 2]
PyTorch Hugging Face LLMs
Advanced Machine Learning for Healthcare & Time-Series[cite: 2]
- Engineered imputation-free Transformers in PyTorch for highly irregular time-series data.[cite: 2]
- Developed a CNN to detect pneumonia, utilizing Grad-CAM to map diagnostic pixel regions.[cite: 2]
Machine Learning for Genomics[cite: 3]
- Top 10% Class Award.[cite: 3] Built PyTorch deep generative models (scVI/scANVI) to annotate single-cell profiles.[cite: 3]
Low-Level Systems & Game Development[cite: 2]
- Architected a highly scalable, object-oriented simulation environment in C# with custom dynamic pathfinding.[cite: 2]
- Engineered an x86 virtual memory simulator in C managing multi-level page table translations.[cite: 2]
- Built a thread-safe traffic simulation system in Java utilizing ReentrantLock and monitors.[cite: 3]
Skills & Technologies
Machine Learning & AI: Python, PyTorch, Transformers, Scikit-learn, XGBoost, NumPy, Pandas, SciPy, tsfresh, R, Apache Spark, Hadoop[cite: 3]
Systems & Engineering: C/C++, Java, SQL, Unix/Linux, NOSQL[cite: 3]
Experience & Details
ETH Computer Science Library Assistant[cite: 3]
December 2024 – Present[cite: 3]
- Managed computer science literature and directed library social media.[cite: 3]
Languages: English (native), German (native), French (B2), Polish (B2)[cite: 3]
Interests: Volleyball (Stäfa team captain 2021), Bassist in a jazz band[cite: 3]