Shaleen Kalsi is a Machine Learning Engineer with 8 years of experience blending deep learning research and cloud-scale engineering, currently building ML systems at Meta after recent roles applying DL to patent products and hate-speech detection research. He brings production-grade distributed systems experience from Azure Cosmos DB at Microsoft and a solid academic foundation from an MSc in AI at the University of Edinburgh. Comfortable moving between research and engineering, he has shipped applied NLP and semantic analysis work in industry settings—from Novartis to Minesoft—and led embedded and satellite data-handling projects as a student engineer. Based in London, he combines curiosity about low-resource NLP approaches with hands-on experience in cloud services, making him adept at turning experimental models into scalable product features.
8 years of coding experience
7 years of employment as a software developer
MSc AI Artificial Intelligence, MSc AI Artificial Intelligence at The University of Edinburgh
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at Manipal Institute of Technology
Twelveth grade Non-medical and Medical Sciences, Twelveth grade Non-medical and Medical Sciences at Sacred Heart Convent School
Contributions:2 PRs, 15 pushes, 3 branches in 12 days
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