I'm an AI Engineer and MSc student in Computer Engineering at the University of Salerno, specializing in Artificial Intelligence. I design and build end-to-end intelligent systems — from production-grade Agentic RAG pipelines and LLM applications to state-of-the-art Computer Vision and Generative AI architectures.
My software engineering background means I don't just prototype — I build systems that are modular, maintainable, and ready for real-world deployment.
- 🔭 Focus areas: Agentic LLM Systems · Generative AI · Real-time Computer Vision
- 🎓 MSc in Computer Engineering (AI) @ University of Salerno — graduating 2025/26
- 🌍 Based in Campania, Italy · Open to relocation / remote
- 📬 Reach me: apiantonio.aa@gmail.com
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Production-grade LLM system for the DIEM Department at the University of Salerno. An intelligent assistant that autonomously queries multiple vector store collections, rewrites ambiguous queries, and generates grounded multilingual answers — with full guardrail and RAGAS evaluation pipelines. Highlights:
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Computer Vision pipeline for the SoccerNet Benchmark — A.Y. 2025/26 @ UniSa. Full Tracking-by-Detection system combining high-recall detection with motion-based tracking and semantic field masking. Results on Official Test Set:
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Generative AI research comparing three architectures for conditional face synthesis on CelebA. A comparative framework for controlled face generation (gender · expression · age) benchmarking three distinct generative paradigms. Architectures implemented:
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Semantic segmentation optimized for resource-constrained on-board deployment. Semantic segmentation of rural aerial imagery using a ResNet18 encoder coupled with a U-Net decoder architecture, designed for efficient inference on embedded hardware. Key aspects:
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I'm actively looking for AI Engineer / ML Engineer opportunities (full-time or stage). If you're working on something interesting in the LLM, GenAI, or Computer Vision space — let's talk.
