Francesco Sannicola
Machine Learning | Software Engineering
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Latest Projects
Updated on April 19, 2026
Wedding Guest Uploader
Wedding photo-sharing web app for guests to upload and browse photos and videos at the venue. Guests log in by name only, upload publicly or privately to the couple. Admin dashboard with full gallery access, user management, and private folder browsing.
Updated on June 19, 2025
Smart Product Categorization Engine
A transformer-based text classification system for product categorization using fine-tuned BERT-like models. Implements multi-class prediction with containerized deployment for scalable and reliable use in e-commerce applications.
Updated on Mar 19, 2025
Document-Claim Evidence Mapper
A document-claim analysis tool that uses LLMs to extract and rank relevant text supporting or refuting claims. Combines prompt-based NLP with customizable evaluation for fact-checking and analysis in legal and financial contexts.
Updated on Mar 22, 2025
ML-based classification of customer complaint drivers
A data-driven approach to understand and predict customer dissatisfaction through data processing, exploratory analysis, predictive modeling, rigorous evaluation, and actionable visualization.
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Latest Articles
Updated on Dec 09, 2025
Understanding Spatial Indexing Trees
An in-depth exploration of KD-Trees, Ball Trees, and R-Trees (STRtree), including construction algorithms, query execution logic, and comparative benchmarks.
Updated on Aug 14, 2025
Machine Learning Essentials: Linear vs. Logistic Regression
A practical guide to linear and logistic regression—with step‑by‑step examples—covering core math, assumptions, evaluation, and extensions.
Updated on Mar 9, 2025
GenAI and LLM Questions with In-Depth Answers
From prompt engineering to advanced concepts, this guide demystifies large language models (LLMs) while preparing you for technical interviews with detailed, practical examples.
Updated on Dec 17, 2024
Understanding Random Number Generation
Exploring Random Number Generators (RNG), Linear Congruential Generators (LCG), and Permuted Congruential Generator (PCG) focusing on their mechanisms.
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