Vaibhav Dubey — CEO

I build AI agents that build machine learning systems.Most companies are sitting on years of raw data but very little production ML. The bottleneck is not model training. It is feature engineering, data transformations, and the engineering overhead around experimentation and deployment.That is what we are fixing at Plexe.Plexe is an autonomous ML engineering system. You describe the prediction problem in natural language. Plexe connects to your data, discovers relevant signals, engineers features, trains task-specific models, evaluates them, and deploys the best one to production.No toy Kaggle workflows. Real production ML.Before starting Plexe, I worked on ML and data systems at Expedia, Proofpoint, and Barclays. I have seen how slow and fragile ML pipelines can be inside real companies.I also think LLMs are overused. Many real-world ML problems are better solved with smaller, specialized models. We focus on that.Our mission is simple:Any company building intelligence on top of their data should not need to hire an ML team from scratch.If you care about production ML, autonomous systems, or building AI infrastructure, follow along.

Stackforce AI infers this person is a SaaS-focused ML engineer with a strong background in AI and data engineering.

Location: San Francisco, California, United States

Experience: 8 yrs