Gopal Rajpurohit

Gopal Rajpurohit is a Computer Science professional with a strong interest in research and development focused on designing and constructing scalable systems on a web scale.

He is known for his innovative thinking, excellent design skills, and practical experience in developing web-scale systems. His expertise includes strong analytical skills, proficiency in algorithmic and data structures, and a solid foundation in operating system concepts.

Gopal possesses a deep understanding of machine learning and data mining algorithms, along with expertise in MapReduce paradigm, Hadoop, Pig, and optimizations for MapReduce applications.

His areas of interest span across algorithms, machine learning, data mining, search, spell correction, phonetics, text processing, semantic web, information extraction, and retrieval for various natural languages.

Gopal Rajpurohit's preferred programming language is Java, and his specialties include innovation, algorithmics, data structures, optimizations, MapReduce, Hadoop, Pig, URL normalization, spelling correction, phonetics, machine learning, data mining, and design skills.

His educational background includes a Master's degree in Computer Science and Engineering from Indian Institute of Technology, Kanpur, a Bachelor's degree in Information Technology with an outstanding GPA from Sardar Patel University, and completion of AISSCE in Science from Sainik School Balachadi, Jamnagar.

In his professional journey, Gopal has held key positions at reputable organizations. He worked as a Software Engineer (L6) at Pinterest, Staff Software Engineer - Ads, Senior Software Engineer - Ads, and Senior Software Engineer - MapReduce at Twitter. Additionally, he served as a Technical Lead at Yahoo Software Development Center in India, a Member of Technical Staff at Veveo India Private Limited, and an Associate Software Engineer at Symantec.