B.Sc. in Applied Computer Science & Artificial Intelligence Sapienza University of Rome · Italy

Email · LinkedIn · LeetCode · TryHackMe · GitHub

I am an undergraduate student in Applied Computer Science and Artificial Intelligence at Sapienza University of Rome, focused on building scalable machine learning systems and retrieval-driven applications.

My work sits at the intersection of:

• Information Retrieval (Search & Ranking)
• Machine Learning Systems
• Backend Engineering

I am particularly interested in designing end-to-end pipelines that connect retrieval, ranking, and model inference into production-oriented systems.

MS MARCO · BM25 + FAISS + Transformer Reranking

• Built a hybrid retrieval pipeline combining sparse (BM25) and dense (FAISS) search
• Implemented transformer-based reranking to improve top-k relevance
• Designed modular system for indexing, retrieval, and ranking
• Explored trade-offs between recall, latency, and scalability
• Structured for extensibility (plug-in retrievers / rerankers)

Go · REST APIs · Concurrency

• Developed backend system in Go with concurrent request handling
• Implemented RESTful APIs for messaging and session management
• Designed lightweight architecture for real-time communication
• Focus on performance and system reliability

CNN + LSTM · Sequence Modeling

• Built OCR pipeline using CNN + LSTM architecture

React Native · Backend Integration · UX Design

• Developed a cross-platform mobile app for food discovery in Italy
• Designed user interface tailored for international users navigating local menus
• Integrated backend APIs for data-driven recommendations
• Iteratively improved UX based on user feedback and testing

• Developing Retrieval-Augmented Generation (RAG) pipelines
• Improving retrieval quality and ranking performance
• Studying system design for ML-backed applications
• Practicing algorithms and systems (LeetCode)
• Hands-on security labs (TryHackMe)

• Python · Go · JavaScript · SQL

• PyTorch · Scikit-learn · OpenCV
• BM25 · FAISS · RAG pipelines

• REST APIs · Docker · SQLite · Git
• Scalable system design (fundamentals)

• Vue.js · React Native

• TryHackMe (Pre-Security · Intro · Labs)

• Retrieval systems & ranking pipelines
• Scalable ML applications
• Backend architecture
• Reliable and secure systems

• English (Fluent)
• Italian (Native)
• Chinese (Native)
• German (Beginner)

Building systems that combine learning-based methods with solid engineering.
🧠 Mensa Member (Top 2% IQ Society)