Internship at Suggesto S.r.l.

At Suggesto S.r.l., I developed an automated system for large-scale video processing, designed to handle hundreds of videos simultaneously. The system performs transcription, title generation, description writing, and summarization, combining speech recognition and large language models in a single workflow.

I integrated Whisper for accurate multilingual transcription and vLLM with Qwen 3.5 to generate coherent and context-aware metadata. The pipeline was built for efficiency, scalability, and clarity, helping the company speed up their internal content production process.

This project allowed me to combine AI research with real-world software engineering, bridging the gap between language models, automation, and creative media.

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