Sagarnil Das is a Machine Learning Engineer with a decade of hands-on experience building production-grade AI systems across healthcare, retail, and government, and is currently at Meta. He has led ML strategy and architecture as CTO at Artelus—delivering clinical-grade retinal imaging models, unsupervised pretraining pipelines, and an LLM-based mental health engine running multiple models in real time. As a founder of CyberDeck AI he built a no-code end-to-end ML platform deployed on Kubernetes that onboarded thousands of users and earned Startup-India and cloud credits from Microsoft and AWS. His work blends deep research (SLAM, robotics, materials science) with pragmatic MLOps and full-stack deployment skills, and includes innovations in synthetic data generation, dynamic pricing, and recommender systems. Based in Kolkata with advanced credentials (MIT MicroMasters, Andrew Ng specialization, multiple Udacity nanodegrees), he pairs scientific rigor with product-first execution.
10 years of coding experience
8 years of employment as a software developer
Deep Reinforcement Learning Nanodegree Artificial Intelligence, Deep Reinforcement Learning Nanodegree Artificial Intelligence at Udacity
Bachelor of Engineering (BE) Materials Engineering, Bachelor of Engineering (BE) Materials Engineering at Jadavpur University
Master of Science - MS Materials Science, Master of Science - MS Materials Science at University of Central Florida
Contributions:56 commits, 52 pushes, 1 branch in 6 months
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