Alessandro Solbiati is a Senior Machine Learning Engineer with nine years of experience building ML systems at both seed-stage startups and Meta, where he started and led a 0-to-1 team that generated $30M in year-one revenue. He specializes in large-scale ranking and video/audio understanding for products serving billions of users, and he applies ML to social impact and climate-related challenges such as measuring CO2 impact of model training. Fluent in Mandarin and English and proficient in Python and C++, he blends full-stack engineering instincts with research-level work (author on LLM papers). A repeat founder with hands-on product and growth experience in China, he seeks high-risk/high-reward opportunities and prefers concise outreach that includes company, salary range, and location. Colleagues describe him as someone who deliberately walks off the well-worn path to tackle interdisciplinary problems at production scale.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc) Computer Science Shanghai, Bachelor of Science (BSc) Computer Science Shanghai at Tongji University
Bachelor of Science (BSc) Computer Science Engineering, Bachelor of Science (BSc) Computer Science Engineering at Politecnico di Milano
Summer School Deep Learning Beijing, Summer School Deep Learning Beijing at Tsinghua University
repo for the Kaggle competition PetFinder.my Adoption Prediction
Contributions:144 commits, 5 PRs, 127 pushes in 2 months
kagglepetfinderpythonpredictionadoption
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Alessandro Solbiati - Senior Machine Learning Engineer at Meta