Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Leonardo Superti is an accomplished Lead Machine Learning Engineer at Reply, based in Milan, Italy, with over 8 years of comprehensive experience in the AI and data science domain. He holds a Ph.D. in Information Technology from Politecnico di Milano, where his research contributed to advancements in machine learning. Leonardo specializes in the end-to-end lifecycle of machine learning projects, from conceptualization and research to development, deployment, and MLOps. His expertise encompasses areas such as Natural Language Processing (NLP), Computer Vision, deep learning, and predictive analytics. He is passionate about translating complex data into actionable insights and innovative AI-driven solutions, leading teams to deliver high-impact projects for various industries.
Leonardo Superti's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Earned a Doctor of Philosophy from Politecnico di Milano, focusing on advanced machine learning techniques and their applications, contributing original research to the field.
Leads and mentors a team of machine learning engineers, architecting and delivering scalable AI solutions, and driving innovation within a leading technology consulting firm.
Authored and co-authored several impactful research papers published in reputable international conferences and journals, contributing to the scientific community in areas like deep learning, computer vision, and multi-label image classification.
Successfully designed, developed, and deployed multiple machine learning models into production environments, solving real-world business problems and delivering tangible value across different sectors.
Actively contributes to the machine learning community by sharing knowledge through articles, talks, and potentially open-source contributions, fostering learning and collaboration.
Universidade Paranaense - Year 2016
Faculdade Politécnica de Jundiaí - Year 2007
Universidade Federal do Tocantins - Year 2005
Estácio
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
CustomerX is a dynamic SaaS company dedicated to revolutionizing customer relationship management through innovative AI-powered analytics and engagement tools. We empower businesses to deeply understand their clientele, personalize interactions at scale, and foster lasting loyalty, ultimately driving growth and customer satisfaction. Our platform integrates seamlessly with existing workflows, providing actionable insights and automated solutions for marketing, sales, and support teams.
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