Incoming MS in Artificial Intelligence at the University of South Florida (Fall 2026); B.Sc. in Computer Science, USF (2023).
I build at the intersection of LLM fine-tuning, retrieval-augmented generation, and on-device computer vision.
- paper-tldr — QLoRA fine-tune of Llama 3.2 3B Instruct for scientific abstract → TL;DR. ROUGE-1 +13%, ROUGE-2 +27%, ROUGE-L +22%, BERTScore F1 +4.8% over zero-shot baseline on a 618-pair test set.
- PaperPal — Local RAG over research PDFs with page-anchored citations. Runs entirely offline (Ollama + ChromaDB), with optional Groq cloud fallback. Live demo.
- ASL-Translator — Real-time browser-only American Sign Language fingerspelling translator. MediaPipe HandLandmarker + ONNX Runtime Web; 98.06% test accuracy on Kaggle ASL Alphabet. All inference runs on-device.
LLM evaluation methodology, retrieval quality measurement, parameter-efficient fine-tuning (LoRA / QLoRA), and computer vision for accessibility.
PyTorch · HuggingFace Transformers · PEFT · sentence-transformers · ChromaDB · Ollama · FastAPI · Next.js / TypeScript · MediaPipe · ONNX Runtime · PostgreSQL · Docker
Microsoft Certified: Azure AI Engineer Associate · AI Fundamentals · Data Fundamentals
- pedrorodriguesmussi@gmail.com
- Tampa, FL — Native English / Brazilian Portuguese