Expand my practical expertise in AI, especially RAG and applied machine learning, by collaborating on open-source projects, building lightweight prototypes, and exploring innovative ways to combine data, algorithms, and gamified learning.

Luca Visconti
longobucco

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  • ⚙️ Developer/Tech
165

AI enthusiast with a solid background in algorithms, big data, and applied machine learning. Experienced in building prototypes such as web recommendation systems, AR apps, and RAG pipelines. Comfortable with Python, Java, and data engineering tools, with practical experience in project design, teamwork, and Agile methods. Passionate about open-source collaboration and creating accessible AI solutions.

🦾 Skills
Python Java TypeScript JavaScript PHP SQL MongoDB supervised learning CSP RAG data preprocessing Hadoop Spark data structures algorithms React Android development AR applications prototyping teamwork Scrum/Agile
🎋 Aims
Deep learning NLP reinforcement learning scalable AI systems MLOps

Experience

🚀 Energy Infrastructure from Remote Sensing Team Beta

Resume

Polytechnic of Turin Computer Engineering
University of L’Aquila Computer Science
Programming Languages
Databases
AI & Data
Big Data
Other
Italian Native
English B2
React WebApp for Food Recommendations Designed a recommendation system generating dietary plans optimized by nutritional and preference constraints.
Android Augmented Reality App for Museums Developed an AR application enhancing visitor experiences with interactive content.
RAG Model Prototype Building a system integrating verified sources and academic papers into a retrieval-augmented LLM pipeline.
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Dribs

Energy Infrastructure from Remote Sensing Team Beta

Here's our Git Repo: https://github.com/longobucco/bern-solar-panel-detection

Team: Luca, Fatma and George

2 months ago