Alessandro Solbiati
Senior Machine Learning Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlessandro 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.
10 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 UniversityBachelor of Science (BSc) Computer Science Engineering, Bachelor of Science (BSc) Computer Science Engineering at Politecnico di MilanoSummer School Deep Learning Beijing, Summer School Deep Learning Beijing at Tsinghua University
Italian, English, Chinese
Stackoverflow
979reputation
39kreached
45answers
17questions
Github Skills (125)
python10
etl10
automation10
mlops10
orchestration10
data-engineering10
scheduler10
lstm10
elt10
financial-markets10
data-integration10
data-pipelines10
data-science10
workflow-engine10
apache10
Programming languages (11)
Github contributions (5)
SolbiatiAlessandro/lessand.ro
Feb 2019 - May 2020
public repo for my personal website
Contributions:4 PRs, 86 pushes, 2 branches in 1 year 2 months
reactpublic-repo
SolbiatiAlessandro/cogames
Mar 2026 - May 2026
CoGames is a collection of multi-agent cooperative and competitive environments designed for reinforcement learning research.
Contributions:8 PRs, 394 pushes, 53 branches in 2 months
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