Alireza Kashani

Remote Lead ML Advisor at Litegrav

Provided strategic guidance and expertise in algorithm development, data preprocessing, model training, and deployment. Led innovation and product optimization using ML techniques. Built automatic data ingestion pipelines, layout detection, named entity extraction, and LLMOps pipelines to extract insights from scholarly literature.

Senior Machine Learning Engineer at Vivino

Developed and maintained data infrastructure and MLOps pipelines supporting 60M users and 5M wines, using Jenkins for CI/CD, S3 for storage, and Amazon RDS for data management. Implemented continuous performance improvements affecting 10M monthly users; built rate prediction, real-time fraudulent user detection, hateful review detection, and wine bottle recognition. Built pipelines to train and fine-tune LLMs on S3/EC2 for applications such as flavor note extraction, hateful comments detection, and product matching.

Consultant at Qbiom

Provided consultancy in AI, data management, ML, statistics and bioinformatics for clients including Flagship Pioneering, Second Genome, Calysta, Insilico Medicine. Conducted due diligence on probiotic strain development in feed manufacturing; advised on building bioinformatics teams, hiring first two employees, and scaling data-management services with cloud migration.

Management Consultant within AI at KPMG Advisory

Participated in 5+ projects across Nordic regions focusing on digitization; identified and implemented AI use-cases for a leading global publisher; developed business models and presented to executives. Supported sales through market analysis and rapid prototyping with data-backed evidence; navigated regulatory and compliance landscapes across cloud environments; mapped business processes for a pharmaceutical HR unit.

Doctoral Researcher at Novo Nordisk Foundation for Basic Metabolic Research

Designed and conducted multidisciplinary experiments to study the gut microbiome’s effect on type-2 diabetes; authored and presented results published in high-impact journals including Nature Medicine, Nature Microbiology and Genome Medicine.

Bioinformatician at Massachusetts General Hospital / Broad Institute

Led bioinformatics analyses to identify genetic causes of Congenital Diaphragmatic Hernia across hundreds of patients and identify potential drug targets; collaborated with clinicians and geneticists to design experiments and interpret results.