About

Himanshu V. is a skilled software engineer with a passion for writing code and reading research papers. He is currently working at GitHub as a Software Engineer II, where he is part of the team developing "Liquid Mode," an adaptive view of the original PDF generated by classifying and extracting PDF content. Himanshu is primarily working in C++ and Machine Learning to achieve this goal. Before joining GitHub, Himanshu worked at Adobe Connect, where he used ReactJS and Java to develop a web conferencing solution for webinars, online meetings, video conferencing, and virtual classrooms. Himanshu has completed his Bachelors and Masters in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, India, where he worked on various technologies such as Deep Learning, Full Stack, etc. During his academic period, he was also the teaching assistant for Compilers and Data Structures. Himanshu has a diverse range of experience, having worked as a Software Development Intern at Flipkart, where he built a knowledge base using unstructured data. He proposed a domain-specific chunking grammar, used along with various open information extractor tools like ReVerb, Ollie, Stanford CoreNLP to extract phrases from each sentence. He used word2Vec model to produce word embedding and then used Hierarchical Agglomerative Clustering (HAC) method to cluster them. Himanshu's technical expertise includes Software Engineering, Deep Learning, Javascript, Python, Web, NLP, Java, ReactJS, ML, Research Scientist, test, iOS, and Mobile. With almost 5 years of relevant experience, Himanshu is a highly skilled software engineer who is always eager to take on new challenges and push the boundaries of what is possible.