About

Chelsi Raheja is a highly skilled Software Engineer currently working at Google, where she has been contributing to the development of Google Docs Spelling Correction team. She is a graduate of Indian Institute of Technology, Kharagpur, where she earned a Bachelor's Degree in Computer Science. With over 3 years of relevant experience, Chelsi has worked on various projects that have allowed her to develop expertise in software engineering, text classification, and infrastructure. Before joining Google, she was a member of the Artificial Intelligence Team at Kharagpur Robosoccer Students Group. During her time there, she developed a Finite State Machines based architecture on ROS, which was capable of inter-agent communication for an effective passing play. She also contributed to the development of multi-threaded 3-tier architecture code base for controlling omni-directional robots. Additionally, she prepared a computation module including variable velocity 8-bit PWM, encoder and implemented closed-loop control for 3 Phase BLDC Motor. At Google, Chelsi has worked on adding new grammar corrections and created a tfx pipeline for non-linguistic text classifier and integrated correction suppression as per non-linguistic text classification in spelling infrastructure. Her technical skills include software engineering, text classification, and infrastructure. Chelsi is a highly motivated professional with a passion for solving complex problems. She is a quick learner, a team player, and has excellent communication skills. Her ability to work well under pressure and her dedication to delivering high-quality work make her a valuable asset to any team she is a part of.