Abstract The upcoming upgrades to CERN’s particle accelerator infrastructure, particularly the High-Luminosity Large Hadron Collider (HL-LHC), will lead to significantly higher data rates in exper...

Why RAG? Large Language Models (LLMs) are incredibly useful for answering questions about topics they were trained on. They make vast amounts of information easily accessible and excel at processi...

Project Details Role: Student Project Type: University Course Project Core Concepts: Sensor Fusion, CI/CD Technologies & Concepts C++ & OpenCV Docker & CI/CD Pipelines ...

This paper’s primary contribution is a theoretical framework for segmenting data through refined clustering. It employs a multi-level clustering approach and introduces a smoothing technique to han...

My Bachelor’s thesis focused on multivariate time series forecasting, leveraging Temporal Fusion Transformers (TFTs) to improve prediction accuracy by incorporating features with known future values.

Project Details Role: Research & Development Project Type: University Project Core Concept: Physics-Informed ML Technologies Used Python PyTorch torchdiffeq Library Project ...