Alessandro Solbiati is a machine learning engineer with 9 years of experience spanning seed-stage startups and Meta, currently shaping production AI at Meta with a focus on scalable, socially aware ranking and environmental impact. He led a 0-to-1 ML team of 7 engineers that generated $30M in revenue in its first year, and has hands-on experience building video, audio, and NLP models for large-scale platforms used by billions. His work blends research and deployment—from CO2 impact measurement of Llama3 training to ads ranking for sustainable and educational outcomes. Fluent in Mandarin and English and proficient in Python and C++, he studied deep learning at Tsinghua and earned CS degrees in Shanghai and Milan, and is based in San Francisco. He is an active contributor to the LLM community and co-founded ventures like Anyhelper, reflecting a track record of entrepreneurial, technically driven leadership.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc), Computer Science Engineering, Bachelor of Science (BSc), Computer Science Engineering at Politecnico di Milano
Bachelor of Science (BSc), Computer Science, Shanghai, Bachelor of Science (BSc), Computer Science, Shanghai at 同济大学
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 - Machine Learning Engineer at Meta