I am a multi-stack architect specializing in Deep Neural Networks and High-Performance Scalable Systems. From retraining YOLO architectures for real-time Visual Computing to fine-tuning LLMs and building robust Node/PHP engines, I bridge the gap between complex data and elite execution.
- ygotballs – The Blueprint of Greatness.
- Visual Computing: Mastering YOLOv8/v11 retraining pipelines for sub-millisecond tactical tracking in football.
- Neural Analysis: Deploying Deep Neural Networks (DNNs) to decode, cluster, and replicate elite team "DNA."
- Generative AI Ecosystems – Advanced fine-tuning of Llama/Mistral models using QLoRA and RAG for domain-specific intelligence.
- FoxCast – Scaling a high-traffic SaaS using a synchronized Node.js & PHP backbone to drive real-time customer engagement.
| Domain | Tech & Mastery |
|---|---|
| Artificial Intelligence | Machine Learning, Deep Learning (PyTorch), YOLO (Retraining), CNNs, RNNs |
| Backend Engines | Python, Node.js, PHP (Expert), REST/GraphQL APIs, WebSockets |
| Generative AI | LLM Fine-Tuning, RAG Pipelines, Vector Databases (Pinecone/Milvus), Prompt Engineering |
| Systems & Cloud | Docker, Kubernetes, AWS (EC2/S3/Lambda), CI/CD MLOps, Linux Admin |
| Frontend & Mobile | React, Angular, TypeScript, Tailwind CSS, Responsive UI/UX |
| Data Architecture | PostgreSQL, Redis, MongoDB, Data Engineering & ETL Pipelines |
I don't just implement models; I optimize the entire ecosystem. By mastering the full lifecycle—from raw data collection and Neural Network training to deploying scalable cloud infrastructure—I build the state-of-the-art engines that drive the future of tech.
- 🌐 Website: Tigers Agreement
- 💼 LinkedIn: Philippo Armando
- 📧 Email: philippo@tigers-agreement.com
- 🌍 Identity: Swiss 🇨🇭 | Italian 🇮🇹 | Peruvian 🇵🇪

