About

Tarun Verma is a highly skilled Software Engineer with over 4 years of experience in the industry. Currently working at Google, he is responsible for developing software for the Google Search organization. With a strong background in computer software engineering, Tarun has an impressive track record of delivering high-quality solutions that meet the needs of his clients. Prior to joining Google, Tarun worked as a Member of Technical Staff II at Adobe where he built an image processing library using C++ for Liquid Mode: Acrobat’s Next-generation view for documents. He was responsible for providing an enhanced image input to the pipeline for high-quality OCR and ML output, as well as post-processing those predicted outputs. Tarun's contribution helped increase Liquid Mode for scan pipeline’s quality by 40%. He also improved the quality of heuristic-based components by tuning their parameters using Genetic algorithm, which helped in improving Acrobat Reader’s Liquid Mode pipeline accuracy by 0.8%. Tarun developed a smart Read-Aloud feature for Acrobat Reader Mobile using heuristics to tune the voice narration parameters like pitch, word deliverance speed, break between sentences based on Liquid Mode pipeline’s results, thus improving user experience. He used a technology stack that included C, C++, Python, Boost, OpenCV, and Halide. Tarun has also worked as a Mentor at InterviewBit, where he taught data structures and algorithms to a class of 40 students preparing for their interviews. He has a Bachelor of Technology in Computer Software Engineering from DTU, where he graduated in 2018. He also attended Gyan Mandir Public School from 2012 to 2014. Tarun is proficient in a wide range of technologies, including Software Engineering, Search, OpenCV, Image Processing, Python, ML, and Mobile. He is a highly motivated individual who is passionate about delivering top-notch solutions that meet the needs of his clients. With his exceptional skills and experience, Tarun is a valuable asset to any organization.