Samuel Peña is an expert data scientist and AI engineer with a decade of experience building production-grade ML systems and four+ years focused on end-to-end AI solutions including multimodal models, real-time visual search, and recommendation engines. Based in Milan and completing an MSc in Computer Science at Politecnico di Milano, he has led projects that serve over a million users and reduced operational workloads by up to 60% through tailored multimodal and LLM-driven pipelines. He designs technical strategy end-to-end—from architecture selection and fine-tuning BLIP-style models to deploying scalable vector search and RAG systems on GCP Cloud Run—while translating stakeholder needs into measurable business impact. Samuel’s work blends hands-on model engineering (vision, LLMs, time series) with production automation and continual fine-tuning, and he has built custom solutions that turn images and KPIs into actionable insights for merchants. Notably, he optimized a high-performance mobile visual search using GCP’s multimodal embeddings and vector search, demonstrating a knack for marrying advanced research models with real-time, user-facing products.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science and Engineering Artificial Intelligence and Machine Learning, Master of Science - MS Computer Science and Engineering Artificial Intelligence and Machine Learning at Politecnico di Milano
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Universidad del Norte
Contributions:5 PRs, 5 pushes, 1 branch in 2 years 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.