Summary
Pritish Uplavikar is a Senior Research Engineer with nine years of experience building production-ready ML and simulation systems across industry leaders like Apple, Meta, and NIO. He has delivered end-to-end pipelines that translate 2D floorplans into realistic 3D environments, drove a ~3x IoU improvement in multimodal segmentation that saved $500k+ in outsourcing, and scaled synthetic data generation for perception and RL through controllable scenario and texture-generation frameworks. His background spans computer vision, deep learning, sensor fusion and trajectory prediction, with hands-on expertise deploying models and data pipelines in production at scale. A Texas A&M CS graduate and former AI Scientist Intern, he combines rigorous research with practical engineering—often tackling data scarcity by designing annotation specs and probabilistic spawning models that enable realistic validation before real-world tests.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s degree Computer Engineering, Bachelor’s degree Computer Engineering at Pune Institute of Computer Technology
Master's degree Computer Science, Master's degree Computer Science at Texas A&M University