Summary
Santhoshini Gongidi is a machine learning engineer with ~10 years of experience building production ML and computer vision systems, currently focused on robotic perception for autonomous trucks. Her work spans industry and academia—from leading wafer-anomaly detection and auto-labeling pipelines at Micron to advancing 3D foundation models and GPU-kernel optimizations at CMU—where she matched RGB-D baselines with geometry-aware diffusion policies. She has strong end-to-end execution experience across dataset creation, model optimization, and cloud inference pipelines, and has led small cross-functional teams to production. Notably, she compressed image token counts by 50% with a text-aware ViT tokenizer and wrote custom Triton kernels to accelerate global attention for 3D models. Based in Pittsburgh, she’s graduating from CMU SCS (Dec ’25) and seeks ML/CV roles that marry efficient, scalable models with real-world robotics and edge applications.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Engineer's Degree, Computer Science, Engineer's Degree, Computer Science at Indian Institute of Information Technology, SriCity
Master's degree, Computer Vision, Master's degree, Computer Vision at Carnegie Mellon University
English, Telugu, Hindi