Projects

A selection of research and side projects I have worked on over the years.

Research

Preview of Context-Aware Temporal Modeling for Anomaly Detection in Hydropower Systems

Context-Aware Temporal Modeling for Anomaly Detection in Hydropower Systems

The final project for CIVIL-426 at EPFL, focusing on developing a context-aware sequence-to-sequence model to detect anomalies in hydropower systems.

Sadly, the contents of this project are hidden behind an NDA.

2024

Preview of ProbLLMs: Multiple-Choice Problem Solving for EPFL Courses

ProbLLMs: Multiple-Choice Problem Solving for EPFL Courses

We develop an AI tutor targeted at STEM education, specifically for multiple-choice question answering related to EPFL courses. Using a general- purpose LLM as a base, we fine-tune a model with enhanced capabilities for complex reasoning tasks related to STEM education.

2024

Preview of On the Effect of Quantization on Deep Leakage from Gradients and Generalization

On the Effect of Quantization on Deep Leakage from Gradients and Generalization

We explore various quantization techniques and assess their effectiveness in preserving both data privacy and model performance for machine learning.

2024

Preview of Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks

This project uses reinforcement learning and graph neural networks to schedule job assignments.

2023

Preview of Chess ratings: Leveraging Network Methods to Predict Chess Results

Chess ratings: Leveraging Network Methods to Predict Chess Results

We address the problem of estimating chess player ratings and match outcome prediction by leveraging network approaches based on their past games and results.

2023

Preview of Investigating Predator-Prey Dynamics through Simulated Vision and Reinforcement Learning

Investigating Predator-Prey Dynamics through Simulated Vision and Reinforcement Learning

Course project for the CS-503 Visual Intelligence course at EPFL

2023

Preview of Autonomous Lane Changing using Deep Reinforcement Learning with Graph Neural Networks

Autonomous Lane Changing using Deep Reinforcement Learning with Graph Neural Networks

The aim of this project is to use advanced machine learning methods to solve problems within autonomous driving

2022

Preview of Discovering the Higgs Boson using Machine Learning

Discovering the Higgs Boson using Machine Learning

This project studies different machine learning models applied to the data collected from the experiments performed with the CERN particle accelerator with the aim of discovering the Higgs boson particle

2022

Preview of Strategic Dominion: AI-Powered Risk Conquest

Strategic Dominion: AI-Powered Risk Conquest

Strategic Dominion is a project where we used the power of machine learning to develop agents for the classic game of Risk, enabling intelligent AI bots to engage in strategic conquests.

2021

Preview of Algorithms for the 3D bounded knapsack problem with polyominoes

Algorithms for the 3D bounded knapsack problem with polyominoes

This project uses different algorithms to create fast, high-quality solutions to the 3D bin packing problem with one bin

2020

Development