torneti
Fullstack Developer & Technical Solutions Architect
Dual-degree graduate in Computer Engineering & Business Administration (ADE) specialized in Machine Learning, Edge AI, and Web3 architectures. Proven track record engineering deep learning models (PyTorch, ARM/MPS hardware acceleration, <500ms latency), optimizing automated CI/CD pipelines (GitHub Actions), and deploying verified smart contracts on Layer-2 networks (Arbitrum One). Combines strong software engineering discipline with sharp business acumen (ROI optimization, SaaS unit economics, GDPR/EU AI Act compliance).
Experience: 3 years
Yearly salary: $38,000
Hourly rate: $40
Nationality: 🇪🇸 Spain
Residency: 🇪🇸 Spain
Experience
Fullstack Developer & Technical Solutions Architect (Internship)
The Factory Music Group 2026 - 2026
Spearheaded technical architecture of 'M-Academy' MVP, an ed-tech ecosystem for music industry professionals. Engineered a decoupled 'Bunker Mode' resilience layer (Feature Flags & mock data) to maintain 100% UI stability during 3rd-party API outages (Spotify/Tidal). Optimized automated CI/CD deployment pipelines using GitHub Actions, cutting build cycles from 15 to 2 minutes. Built real-time analytics dashboards using Angular 19 and Signals, optimizing Firebase NoSQL synchronization.
AI & Software Engineering Lead (Dual Thesis Projects)
Universidad Isabel I 2025 - 2026
Computer Engineering Thesis (Grade: 8.3/10): Engineered a real-time Edge AI infant cry classifier using MobileNetV3-Small in PyTorch. Optimized the model to a 6.2 MB disk footprint with <500ms inference latency using Apple Silicon MPS / ARM hardware acceleration. Business Administration Thesis (Grade: 9.0/10): Architected a SaaS business plan for Edge AI health tech, mathematically proving a 90% cloud infrastructure cost reduction over centralized models and designing a GDPR/EU AI Act compliance framework.
Skills
angular
aws
ci-cd
defi
ethereum
evm
full-stack
machine-learning
pytorch
react
smart-contract
solidity
python
english
spanish