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Deep Learning Scientist with a Master's Degree in Artificial Intelligence from the University of Bologna.
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Alma Mater Studiorum - Università di Bologna
Data Scientist
June 29, 2026 – Present
llm-chat-api
April 28, 2026 – Present
LLM-powered chat API with authentication, streaming responses, and conversation history built using FastAPI.
View ProjectVIDEOLOC-Improved-video-localization-processes
December 3, 2025 – December 3, 2025
Video subtitle localization with ASR reranking and quality estimation. Reduces post-editing time by selecting optimal candidates.
View ProjectIterative-Policy-Refinement
June 16, 2023 – September 17, 2023
Iterative-Policy-Refinement — GitHub repository
View ProjectEfficient-Parallel-Sorting
March 8, 2023 – December 8, 2023
This project focuses on the implementation of an efficient parallel sorting algorithm in CUDA C
View ProjectQuestion-Answering
February 16, 2023 – December 8, 2023
Question-Answering focuses on conversational question answering using seq2seq transformer-based models, including DistilRoBERTa and BERT-tiny, fine-tuned on the CoQA dataset
View ProjectPart-Of-Speech-Tagging
February 16, 2023 – December 8, 2023
Part-of-speech Tagging employs bidirectional recurrent neural models for efficient natural language processing. Utilizing BiLSTM layers and pre-trained GloVe-50 embeddings, the project effectively tags parts of speech on the University of Pennsylvania's Dependency Parsed Treebank dataset
View ProjectLegalEval
January 19, 2023 – February 16, 2023
[SemEval@ACL 2023] Solution for LegalEval challenge
View ProjectIntrusionDetection
October 24, 2022 – October 26, 2022
Intrusion detection in static background conditions with Python and OpenCV
View ProjectIntrusion-Detection
October 12, 2022 – December 8, 2023
Intrusion Detection System automates intruder detection in videos using background subtraction and blob labeling. The project efficiently identifies and categorizes objects, with a specific emphasis on recognizing persons in dynamic scenarios like theft within a changing scene
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI/ML topics, particularly NLP and computer vision. The diversity of personal projects suggests a proactive and self-driven individual. However, the lack of team-based projects or professional experience beyond a current Data Scientist role (with a future start date) makes it difficult to fully assess cultural fit in a collaborative, senior-level environment. The experience level is listed as 0, which contradicts the 'Data Scientist' role with a future start date, suggesting a potential mismatch for a senior role without further clarification.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on problem-solving and practical application of machine learning techniques. However, without psychometric or English test results, it is difficult to assess soft skills, communication clarity, or operational fit.