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DOCPAS - Università di Ferrara
Frontend Developer
June 27, 2026 – Present
rnn-gold-trend-forecasting
October 14, 2024 – Present
Recurrent Neural Network implementation for gold price trend forecasting using LSTM layers and time series analysis in Python
View ProjectSymbolic_DNN-Tuner
August 23, 2021 – June 9, 2023
Symbolic DNN-Tuner is a system to drive the training of a Deep Neural Network, analysing the performance of each training experiment and automatizing the choice of HPs to obtain a network with better performance.
View ProjectIntra-Domestic-Water-Leaks-Dataset
March 2, 2021 – March 2, 2021
Intra-Domestic-Water-Leaks-Dataset — GitHub repository
View Projectbddem
November 4, 2018 – Present
bddem is a SWI-Prolog pack for using Binary Decision Diagrams
View Projectauc
January 9, 2016 – December 20, 2023
Library for computing the Area Under the Receiving Operating Characteristics and Precision Recall curves
View Projecttrill
January 21, 2015 – Present
TRILL is a tableau reasoner able to compute probability of queries from probabilistic knowledge bases.
View Projecttrill-on-swish
December 26, 2014 – October 1, 2025
The Trill probabilistic ontology reasoner on SWISH
View Projectcplint
November 9, 2014 – Present
cplint is a suite of programs for reasoning with probabilistic logic programs
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on Prolog and logic programming, which is a niche area. While there's a stated 'Frontend Developer' role at DOCPAS, the project history does not strongly align with typical frontend development skills (e.g., modern frameworks, UI/UX principles, responsive design). This indicates a potential mismatch with a standard Frontend Developer role, suggesting a lower cultural fit for a team focused on mainstream frontend technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily in personal projects, and no psychometric or English test scores are available.