About Giuseppe
English
Native or bilingual
Spanish
Basic
Portuguese
Native or bilingual
Italian
Basic
Experience
- BxT.ai / PenelopeBackend & AI Engineer / R&D LeadPRIVATE EQUITYDecember 2025 - Today (8 months)Milan, Metropolitan City of Milan, ItalyR&D Lead owning ML delivery end to end, from data ingestion and model training to deployment with Docker and CI/CD — for financial forecasting and decision-support platforms.• ◦ Trained and optimized time-series forecasting models (PatchTST) and proprietary priority models, reducing forecast error by 22% and lifting directional accuracy, via feature-pipeline redesign and hyperparameter tuning.• ◦ Built sentiment-analysis models on financial news, integrating Dow Jones and proprietary APIs. Generating precise sentiment data for training.• ◦ Designed a microservices architecture and automated training pipeline running 6 forecasting models in production, cutting retraining time by 45% and enabling daily inference. FastAPI, Java, PyTorch, scikit-learn, GitHub Actions, REST APIs
- DecoroFull-Stack Developer / AI EngineerREAL ESTATEJune 2025 - December 2025 (6 months)ItalyFull-stack engineer on an AI-powered interior-decoration platform where users designed their spaces with AI and video, then previewed the results in augmented reality (AR).• ◦ Built full-stack features (backend + React/Angular) for AI-driven room design and real-time AR visualization, letting users generate and preview decorated spaces in seconds.• ◦ Designed and integrated REST APIs connecting AI image/video generation with the AR rendering layer, cutting generation latency by ∼35%.• ◦ Deployed via Docker to AWS, supporting reliable production releases for client-facing use.• ◦ Stack: Node.js, Python, Databricks, Java, React, Angular, REST APIs, Docker, AWS, PostgreSQL
- ToolGenFull-Stack DeveloperDecember 2024 - June 2025 (6 months)BrazilFull-stack developer on a content-creation platform offering users a suite of AI-powered tools.• ◦ Built backend APIs and microservices powering AI-driven content tools and automation workflows, integrating OpenAI APIs.• ◦ Created an in-app AI chatbot that guides users through the platform's features, reducing support tickets by ∼40% and easing onboarding for a complex, feature-rich product.• ◦ Improved deployment and release processes, making delivery more reliable and easier to maintain.• ◦ Python, FastAPI, Node.js, Java, REST APIs, Docker, Git, PostgreSQL, MongoDB
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Education
- Degree in Systems Analysis and DevelopmentSENACDegree in Systems Analysis and Development
- Artificial Intelligence in Practice — Python, ML, APIs and AI AgentsRocketseat2024Artificial Intelligence in Practice — Python, ML, APIs and AI Agents
Certifications
- AI in practiceRocketSeat2024