ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
Development of ActiveUltraFeedback, a RLHF pipeline for Preference Data Generation utilizing Active Learning 
Portfolio
ETH Computational Intelligence Lab 2025: Uncertainty-Aware Ensemble for Monocular Depth Estimation 2
Finetuning a MixtureofExperts-Metamodel for Monocular Depth Estimation by utilizing Epistemic Uncertainty Estimation 
ETH Large-Scale AI Engineering 2026: Mamba, DeltaNet and Torch DDP
Custom implementation of the DeltaNet and Mamba SSM, comparing performance/throughput against a Transformer baseline, and testing distributed data parallel (DDP) schemes 
Bachelor Thesis: Exploring the Hidden Structures of Attention Layers in Transformer Models through the Lens of Gaussian Distributions (July 01, 2024)
Analyzing the mathematics of Attention layers with Random Matriz Theory under a finite-dimensional Gaussian Approximation 