The fastest way to build ML-powered apps

Career Path

Tuhin Srivastava's career journey is a testament to adaptability and innovation. Initially an electrical engineer, he transitioned to finance in New York, working on projects like privatizing toll roads. However, his passion for engineering led him back to Boston, where he joined a startup focused on neuromuscular disease prognosis using machine learning. Tuhin recalls, "I got to work with this guy and these three MIT PhDs, basically figuring out if they can predict the prognosis of neuromuscular disease" 1. This experience ignited his interest in machine learning, eventually leading him to roles in companies like Gumroad, where he developed ML pipelines to combat fraud 2.

   

BaseTen's Origin

The inception of BaseTen was driven by Tuhin's firsthand experiences with the challenges of deploying machine learning models. Alongside his co-founders, he recognized the need for practical tools to integrate models into real-world applications. Tuhin explains, "The hardest part of getting a model working...is making that model practical, is making it plugged into some process or in front of real users who can give feedback on that" 3. This insight led to the creation of BaseTen, aiming to simplify the deployment and application of machine learning models 4.