Ruchit D.

Ruchit D. has a diverse work experience in the field of software engineering and machine learning.

Ruchit is currently employed at Momentus as a Principal Software Engineer, where they lead the development and deployment of various open-source software packages and models for satellite operations in space. Ruchit also specializes in creating simulated training data using Blender and CAD models for use with Computer Vision Deep Learning algorithms.

Prior to that, Ruchit worked as a Lead Software Engineer at Momentus, where they played a key role in the development of software for rendezvous proximity operations (RPO) in satellite operations.

Before joining Momentus, Ruchit worked at Capco as an Associate - Digital Engineer, focusing on digital engineering projects.

Ruchit also worked at LinksPro as a Software Engineer, specializing in machine learning infrastructure and virtual desktop infrastructure (VDI). Ruchit was responsible for designing data pipelines and building end-to-end machine learning products using Ray, Docker, and Kubernetes.

Ruchit also gained research experience as a Machine Learning Research Assistant at Columbia University in the City of New York. Ruchit conducted analysis on the Waymo dataset and developed deep learning models to predict the acceleration and deceleration of autonomous vehicles.

Overall, Ruchit D. has a strong background in software engineering and machine learning, with expertise in developing and deploying software for satellite operations, machine learning infrastructure, and autonomous vehicles.

Ruchit D. obtained a Bachelor's degree in Computer Science from Columbia University between 2017 and 2020. In 2020, they also earned a certification in "Google Cloud Platform Big Data and Machine Learning Fundamentals" from Coursera Course Certificates.