deshraj

I'm the Co-founder and CTO of Embedchain.ai, an open-source RAG framework designed to simplify the deployment of RAG applications in production environments. Our framework supports both traditional and customizable deployment methods.

Before founding Embedchain.ai, I worked at Tesla as a Senior Autopilot Engineer, where I led the development of the AI Platform. This platform was essential for large-scale training and model evaluation for the Autopilot team. My role involved monitoring job performance, troubleshooting training clusters, automating machine learning workflows, and developing a centralized platform for engineers and researchers to access metrics, logs, and data.

My experience also includes creating various tools and infrastructure to improve machine learning processes, including 3D labeling software, model evaluation tools, and active learning-based label enhancement software.

Academically, I hold a Master's degree in Computer Science with a focus on Machine Learning from Georgia Tech. My research has concentrated on enhancing the accuracy of Artificial Intelligence and understanding human intentions and behaviors. I've been honored with the Snap Research Scholarship and gained experience as an intern at Snap Research.

Additionally, I spearhead EvalAI, an open-source platform dedicated to evaluating and comparing ML and AI algorithms at scale.