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PhD student at University of Bonn
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University of Bonn
Data Scientist
June 27, 2026 – Present
alessiopittiglio.github.io
July 8, 2025 – Present
This is the source code of my academic website.
View Projecteai-project
June 6, 2025 – July 4, 2025
An in-depth benchmark of modern neural architectures for deepfake detection. This project compares a CNN baseline (Xception) with a Vision Transformer (ViT) and a fine-tuned Vision Mamba (Vim) on public datasets. Includes an interactive demo on Hugging Face Spaces.
View Projectforward-forward-matlab
June 6, 2025 – June 10, 2025
This project explores Geoffrey Hinton's Forward-Forward algorithm. It includes a from-scratch implementation of Backpropagation in MATLAB to benchmark against the official FF implementation.
View Projectapfai-assignment
June 6, 2025 – September 30, 2025
A comparative study of high-performance neural network evaluation using OpenMP for multi-core CPUs and CUDA for NVIDIA GPUs. Includes performance analysis and speedup benchmarks.
View Projectdl-exam
June 6, 2025 – November 25, 2025
A lightweight, from-scratch neural network to reconstruct original English sentences from a shuffled set of words, without using pretrained models.
View Projectdl-project
June 6, 2025 – November 25, 2025
A TensorFlow implementation of Neural Radiance Fields (NeRF) for synthesizing novel views of complex 3D scenes from a sparse set of 2D images.
View Projectbdtm-project
June 6, 2025 – Present
An evaluation of Retrieval-Augmented Generation (RAG) systems for Multiple-Choice Question Answering (MCQA) on AI lecture transcripts.
View Projectmm-argfallacy
May 26, 2025 – June 1, 2025
Official source code for the paper "Leveraging Context for Multimodal Fallacy Classification in Political Debates", accepted at the ArgMining Workshop @ ACL 2025.
View Projectcdmo_project
May 10, 2024 – December 31, 2024
This repository focuses on solving the Heterogeneous Min-Max Vehicle Routing Problem (HMVRP) using techniques like CP, SAT, SMT, and MIP to minimize the maximum distance traveled by couriers with varying capacities.
View Projectair-traffic-control
April 8, 2022 – April 8, 2022
A simulation of short-range air traffic control in C++/Qt, with an AI component for collision avoidance using Monte Carlo methods and quadtree-based sectorization.
View ProjectCultural Fit Analysis
The candidate's project portfolio is extensive and diverse, showcasing a strong personal drive and interest in advanced AI/ML topics. The projects are primarily academic or personal, indicating a strong inclination towards research and complex problem-solving. The current role as 'Data Scientist' at a university aligns with this profile. However, the lack of collaborative or industry-focused projects might suggest a need for adaptation to a more team-oriented, product-driven environment. The experience level is listed as 0, which contradicts the current role, suggesting a potential data inconsistency or a very recent start in the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to work on complex, self-directed projects. However, there is no information regarding teamwork, communication in a professional setting, or problem-solving approaches beyond technical implementation.