Stip AI · Lead ML Engineer
Shaping the company’s AI roadmap, from multi-agent platform design to production-grade RAG systems and voice assistants.
Lead ML Engineer @ Stip AI • Based in Rome
I design and scale Retrieval-Augmented Generation pipelines, multi-agent voice systems, and GPU-first MLOps platforms that take products from research to production. Previously, I led AI production at Translated, automating deployments for 100+ machine translation models.
Shaping the company’s AI roadmap, from multi-agent platform design to production-grade RAG systems and voice assistants.
Owned on-prem infrastructure, automated CI/CD for deep learning, and mentored engineers shipping MT and TTS models worldwide.
A 150+⭐ Python bot that monitors Amazon deals and broadcasts curated drops to thousands of subscribers with minimal latency.
CLI toolkit that leverages LLMs to generate consistent docstrings, improving engineering velocity and knowledge transfer.
PyTorch Lightning extension that packages best practices for knowledge distillation into a friendly, reusable training loop.
Lightweight GPU observability toolkit that keeps distributed clusters healthy with visual telemetry and alerts.
Streaming pipeline that enriches news articles with LLM-assisted metadata, powering smarter editorial search and retrieval.
Simplify bureaucracy. An AI agent that translates complex legal, fiscal, and bureaucratic documents into clear, plain language.
Guide the cache-hungry snake to ingest rogue data packets before the latency monster wakes up.
Use arrow keys, WASD, swipes, or the on-screen pad to steer. Collect eight packets to unlock a nerdy lab note.
You won! Final nerd note:
“Victory tastes like cache hits. Keep your snakes vectorized and your latency low.”