Summary
Alireza Kashani is a Head of Engineering and AI leader with 12 years of experience turning research-grade machine learning and bioinformatics expertise into production AI products. He blends deep statistical rigor (Bayesian methods, generative models, protein-sequence modeling) with hands-on ML engineering and MLOps to deploy models at scale, having served millions of users in production recommendation and vision systems. His career spans startups, advisory roles and R&D—from founding an AI microbiome consultancy working with biotech clients to architecting Vivino’s recommendation stack and optimizing costly legacy image-scan modules. Comfortable across cloud, CI/CD, and vector databases, he bridges product, software engineering and research to prioritize business impact. Based in Copenhagen and self-described as a “Weak Learner” on GitHub, he brings a pragmatic, experimental mindset to complex ML problems and cross-disciplinary teams.
12 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BSc) Electrical Engnineering, Bachelor of Science (BSc) Electrical Engnineering at Qazvin Azad University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Københavns Universitet - University of Copenhagen
Predoctoral fellow, Predoctoral fellow at Harvard Medical School
Technical University of Denmark
English, Persian, Danish