
Deep Learning Scientist with a Master's Degree in Artificial Intelligence from the University of Bologna.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.