Simran Volunesia is a Senior Engineer with six years of experience applying AI research to practical products, currently advancing AI features at Qualcomm after progressing from intern to senior roles. She holds an M.Tech in Computer Science with specialization in Artificial Intelligence from IIIT-Delhi, where her graduate work produced a patent-pending method for extreme one-line summarization of research papers. Known for a strong sense of conviction and a service-oriented mindset she blends technical rigor with storytelling to make complex ideas accessible. Based in Punjab, India, she brings both research depth and production experience across NLP and AI systems, with a track record of turning dense academic insights into concise, deployable solutions.
5 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Thapar Institute of Engineering & Technology
Master of Technology - MTech Computer Science with specialization in Artificial Intelligence, Master of Technology - MTech Computer Science with specialization in Artificial Intelligence at Indraprastha Institute of Information Technology, Delhi
XII Non-Medical, XII Non-Medical at Swami Sant Dass Public School
Plagiarism Removal is made by using nltk (Natural Language Toolkit) using a simple concept of synonyms set that comes with wordnet. Lemmas can be used and then their names will be synonyms. Randomly, any synonym can be assigned without changing the context. Everytime, program is run, the user can get a different flavour of plagiarism removed text each time, making the user have different options and then the user can simply go with the one which he/she finds most appropriate as per his/her need. But after certain iterations, user may start getting same content.
Contributions:1 release, 5 commits, 4 pushes in 9 months
Contributions:8 commits, 7 pushes, 1 branch in 11 months
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