Summary
Pradeep Singh is a computer vision and machine learning engineer with 11 years of experience applying deep learning to real-world problems across industry and research. He has built production ML pipelines and MLOps workflows at Wyze and currently drives vision/ML work at ShipIn Systems, while his research background includes computational neuroscience models for target tracking studied in his MS thesis. Pradeep has tackled multi-modal data—images, meshes and text—and developed tools for deep-learning-accelerated CFD, including mesh-to-graph processing and a coarse-to-fine super-resolution framework during a Dassault Systèmes internship. Comfortable moving between research and production, he has hands-on experience with TensorFlow, Docker, GCP Vertex AI pipelines and GPU training. Based in Bellevue/Seattle, he brings a rare blend of biological inspiration (insect visual system modeling) and engineering pragmatism to visual-data problems.
11 years of coding experience
4 years of employment as a software developer
Nanodegree, Natural Language Processing + Computer Vision + Deep Learning, Nanodegree, Natural Language Processing + Computer Vision + Deep Learning at Udacity
Master of Science - MS, Computational Science, Master of Science - MS, Computational Science at San Diego State University
Bachelor of Engineering - BE, Engineering, Bachelor of Engineering - BE, Engineering at University of Mumbai